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The Spring/Summer21 collection is named after Aurora, the mythical goddess of the dawn.
#1 Deficiency Behind POOR EYESIGHT - Dr. Eric Berg DC
Creating a Host (Super User) Account – #DNN; 1. Go to Persona Bar > Manage > Users. 2. Click Add User. 3. Enter the user's information. Field. 4. Search for the user account. Use the Search Users textbox to search by User Account fields, such as First Name, Last Name, User Name, or Email Address. 5. Click the ellipses icon for the user, then select Make Super #User.
YOLO, short for You-Only-Look-Once has been undoubtedly one of the best object detectors trained on the COCO dataset. YOLOv4 being the latest iteration has a great accuracy-performance trade-off…
6027 is seen arriving into Birmingham on a service 67 from Castle Vale, this is the only Bendy-Bus route in Birmingham and uses Scania Omnicity Arctics new in 2004 for the service, BX54DNN is seen in the latest National Express West Midlands livery which looks very plain on the arctics. 6027 is a Scania OmniCity Arctic.
https://politicnewsbusterinsiderpostreview.blogspot.com/2021/04/python-opencvface-detection-using_13.html ❤ by Edward Lance Lorilla Apache CXF,Ajax,Amazon We...
A quick look at the different neural network architectures, their advantages and disadvantages.
Map information: Title: "Nova hanc CIVITATI HAMBURGENSIS accuratißimam tabulam Ndiß.is Magnificis Amplißimis Clarißimis Prudtißimisq. Dominis Dnn Consulibuae Senatoribus Nec non honnoratissis ac Spectatissimis In dyae eius de Roiq: Hamburg. " Author(s): Petersen, Arnoldus British Library shelfmark: Maps K.Top.101.44. Place of publication: [Germany] Publisher: Arnoldus Petersen, Date of publication: [about 1655.] Item type: 1 map on 2 sheets Medium: joined, copperplate engraving Dimensions: 55.5 x 88 cm Former owner: George III, King of Great Britain, 1738-1820 - Explore this item in the British Library’s catalogue - View all the illustrations found in this publication - Order a higher quality scanned version of this image from the British Library (maps_k_top_101_44) The Topographical Collection of George III contains drawn and printed maps, views and atlases produced between 1500 and 1824. Read more about the collection here. Explore and experiment with the British Library’s digital collections. The British Library community is able to flourish online thanks to freely available resources such as this. You can help support our mission to continue making our collection accessible to everyone, for research, inspiration and enjoyment, by donating on the British Library supporter webpage here. Thank you for supporting the British Library.
This release incorporates many new features and bug fixes (465 PRs from 73 contributors) since our last release v5.0 in April, brings architecture tweaks, and also introduces new P5 and P6 'Nano' models: YOLOv5n and YOLOv5n6. Nano models maintain the YOLOv5s depth multiple of 0.33 but reduce the YOLOv5s width multiple from 0.50 to 0.25, resulting in ~75% fewer parameters, from 7.5M to 1.9M, ideal for mobile and CPU solutions. Example usage: python detect.py --weights yolov5n.pt --img 640 # Nano P5 model trained at --img 640 (28.4 [email protected]:0.95) python detect.py --weights yolov5n6.pt --img 1280 # Nano P6 model trained at --img 1280 (34.0 mAP0.5:0.95) Important Updates Roboflow Integration ⭐ NEW: Train YOLOv5 models directly on any Roboflow dataset with our new integration! (https://github.com/ultralytics/yolov5/issues/4975 by @Jacobsolawetz) YOLOv5n 'Nano' models ⭐ NEW: New smaller YOLOv5n (1.9M params) model below YOLOv5s (7.5M params), exports to 2.1 MB INT8 size, ideal for ultralight mobile solutions. (https://github.com/ultralytics/yolov5/discussions/5027 by @glenn-jocher) TensorFlow and Keras Export: TensorFlow, Keras, TFLite, TF.js model export now fully integrated using python export.py --include saved_model pb tflite tfjs (https://github.com/ultralytics/yolov5/pull/1127 by @zldrobit) OpenCV DNN: YOLOv5 ONNX models are now compatible with both OpenCV DNN and ONNX Runtime (https://github.com/ultralytics/yolov5/pull/4833 by @SamFC10). Model Architecture: Updated backbones are slightly smaller, faster and more accurate. Replacement of Focus() with an equivalent Conv(k=6, s=2, p=2) layer (https://github.com/ultralytics/yolov5/issues/4825 by @thomasbi1) for improved exportability New SPPF() replacement for SPP() layer for reduced ops (https://github.com/ultralytics/yolov5/pull/4420 by @glenn-jocher) Reduction in P3 backbone layer C3() repeats from 9 to 6 for improved speeds Reorder places SPPF() at end of backbone Reintroduction of shortcut in the last C3() backbone layer Updated hyperparameters with increased mixup and copy-paste augmentation New Results YOLOv5-P5 640 Figure (click to expand) Figure Notes (click to expand) * **COCO AP val** denotes [email protected]:0.95 metric measured on the 5000-image [COCO val2017](http://cocodataset.org) dataset over various inference sizes from 256 to 1536. * **GPU Speed** measures average inference time per image on [COCO val2017](http://cocodataset.org) dataset using a [AWS p3.2xlarge](https://aws.amazon.com/ec2/instance-types/p3/) V100 instance at batch-size 32. * **EfficientDet** data from [google/automl](https://github.com/google/automl) at batch size 8. * **Reproduce** by `python val.py --task study --data coco.yaml --iou 0.7 --weights yolov5n6.pt yolov5s6.pt yolov5m6.pt yolov5l6.pt yolov5x6.pt` mAP improves from +0.3% to +1.1% across all models, and ~5% FLOPs reduction produces slight speed improvements and a reduced CUDA memory footprint. Example YOLOv5l before and after metrics: YOLOv5lLarge size(pixels) mAPval0.5:0.95 mAPval0.5 SpeedCPU b1(ms) SpeedV100 b1(ms) SpeedV100 b32(ms) params(M) FLOPs@640 (B) v5.0 (previous) 640 48.2 66.9 457.9 11.6 2.8 47.0 115.4 v6.0 (this release) 640 48.8 67.2 424.5 10.9 2.7 46.5 109.1 Pretrained Checkpoints Model size(pixels) mAPval0.5:0.95 mAPval0.5 SpeedCPU b1(ms) SpeedV100 b1(ms) SpeedV100 b32(ms) params(M) FLOPs@640 (B) YOLOv5n 640 28.4 46.0 45 6.3 0.6 1.9 4.5 YOLOv5s 640 37.2 56.0 98 6.4 0.9 7.2 16.5 YOLOv5m 640 45.2 63.9 224 8.2 1.7 21.2 49.0 YOLOv5l 640 48.8 67.2 430 10.1 2.7 46.5 109.1 YOLOv5x 640 50.7 68.9 766 12.1 4.8 86.7 205.7 YOLOv5n6 1280 34.0 50.7 153 8.1 2.1 3.2 4.6 YOLOv5s6 1280 44.5 63.0 385 8.2 3.6 16.8 12.6 YOLOv5m6 1280 51.0 69.0 887 11.1 6.8 35.7 50.0 YOLOv5l6 1280 53.6 71.6 1784 15.8 10.5 76.8 111.4 YOLOv5x6+ TTA 12801536 54.755.4 72.472.3 3136- 26.2- 19.4- 140.7- 209.8- Table Notes (click to expand) * All checkpoints are trained to 300 epochs with default settings. Nano models use [hyp.scratch-low.yaml](https://github.com/ultralytics/yolov5/blob/master/data/hyps/hyp.scratch-low.yaml) hyperparameters, all others use [hyp.scratch-high.yaml](https://github.com/ultralytics/yolov5/blob/master/data/hyps/hyp.scratch-high.yaml). * **mAPval** values are for single-model single-scale on [COCO val2017](http://cocodataset.org) dataset.Reproduce by `python val.py --data coco.yaml --img 640 --conf 0.001 --iou 0.65` * **Speed** averaged over COCO val images using a [AWS p3.2xlarge](https://aws.amazon.com/ec2/instance-types/p3/) instance. NMS times (~1 ms/img) not included.Reproduce by `python val.py --data coco.yaml --img 640 --conf 0.25 --iou 0.45` * **TTA** [Test Time Augmentation](https://github.com/ultralytics/yolov5/issues/303) includes reflection and scale augmentations.Reproduce by `python val.py --data coco.yaml --img 1536 --iou 0.7 --augment` Changelog Changes between previous release and this release: https://github.com/ultralytics/yolov5/compare/v5.0...v6.0 Changes since this release: https://github.com/ultralytics/yolov5/compare/v6.0...HEAD New Features and Bug Fixes (465) * YOLOv5 v5.0 Release patch 1 by @glenn-jocher in https://github.com/ultralytics/yolov5/pull/2764 * Flask REST API Example by @robmarkcole in https://github.com/ultralytics/yolov5/pull/2732 * ONNX Simplifier by @glenn-jocher in https://github.com/ultralytics/yolov5/pull/2815 * YouTube Bug Fix by @glenn-jocher in https://github.com/ultralytics/yolov5/pull/2818 * PyTorch Hub cv2 .save() .show() bug fix by @glenn-jocher in https://github.com/ultralytics/yolov5/pull/2831 * Create FUNDING.yml by @glenn-jocher in https://github.com/ultralytics/yolov5/pull/2832 * Update FUNDING.yml by @glenn-jocher in https://github.com/ultralytics/yolov5/pull/2833 * Fix ONNX dynamic axes export support with onnx simplifier, make onnx simplifier optional by @timstokman in https://github.com/ultralytics/yolov5/pull/2856 * Update increment_path() to handle file paths by @glenn-jocher in https://github.com/ultralytics/yolov5/pull/2867 * Detection cropping+saving feature addition for detect.py and PyTorch Hub by @Ab-Abdurrahman in https://github.com/ultralytics/yolov5/pull/2827 * Implement yaml.safe_load() by @glenn-jocher in https://github.com/ultralytics/yolov5/pull/2876 * Cleanup load_image() by @JoshSong in https://github.com/ultralytics/yolov5/pull/2871 * bug fix: switched rows and cols for correct detections in confusion matrix by @MichHeilig in https://github.com/ultralytics/yolov5/pull/2883 * VisDrone2019-DET Dataset Auto-Download by @glenn-jocher in https://github.com/ultralytics/yolov5/pull/2882 * Uppercase model filenames enabled by @r-blmnr in https://github.com/ultralytics/yolov5/pull/2890 * ACON activation function by @glenn-jocher in https://github.com/ultralytics/yolov5/pull/2893 * Explicit opt function arguments by @fcakyon in https://github.com/ultralytics/yolov5/pull/2817 * Update yolo.py by @glenn-jocher in https://github.com/ultralytics/yolov5/pull/2899 * Update google_utils.py by @glenn-jocher in https://github.com/ultralytics/yolov5/pull/2900 * Add detect.py --hide-conf --hide-labels --line-thickness options by @Ashafix in https://github.com/ultralytics/yolov5/pull/2658 * Default optimize_for_mobile() on TorchScript models by @glenn-jocher in https://github.com/ultralytics/yolov5/pull/2908 * Update export.py onnx -> ct print bug fix by @glenn-jocher in https://github.com/ultralytics/yolov5/pull/2909 * Update export.py for 2 dry runs by @glenn-jocher in https://github.com/ultralytics/yolov5/pull/2910 * Add file_size() function by @glenn-jocher in https://github.com/ultralytics/yolov5/pull/2911 * Update download() for tar.gz files by @glenn-jocher in https://github.com/ultralytics/yolov5/pull/2919 * Update visdrone.yaml bug fix by @glenn-jocher in https://github.com/ultralytics/yolov5/pull/2921 * changed default value of hide label argument to False by @albinxavi in https://github.com/ultralytics/yolov5/pull/2923 * Change default value of hide-conf argument to false by @albinxavi in https://github.com/ultralytics/yolov5/pull/2925 * test.py native --single-cls by @glenn-jocher in https://github.com/ultralytics/yolov5/pull/2928 * Add verbose option to pytorch hub models by @NanoCode012 in https://github.com/ultralytics/yolov5/pull/2926 * ACON Activation batch-size 1 bug patch by @glenn-jocher in https://github.com/ultralytics/yolov5/pull/2901 * Check_requirements() enclosing apostrophe bug fix by @glenn-jocher in https://github.com/ultralytics/yolov5/pull/2929 * Update README.md by @BZFYS in https://github.com/ultralytics/yolov5/pull/2934 * Improved yolo.py profiling by @glenn-jocher in https://github.com/ultralytics/yolov5/pull/2940 * Add yolov5/ to sys.path() for *.py subdir exec by @glenn-jocher in https://github.com/ultralytics/yolov5/pull/2949 * New Colors() class by @glenn-jocher in https://github.com/ultralytics/yolov5/pull/2963 * Update restapi.py by @glenn-jocher in https://github.com/ultralytics/yolov5/pull/2967 * Global Wheat Detection 2020 Dataset Auto-Download by @glenn-jocher in https://github.com/ultralytics/yolov5/pull/2968 * Objects365 Dataset AutoDownload by @ferdinandl007 in https://github.com/ultralytics/yolov5/pull/2932 * Update check_requirements() exclude list by @glenn-jocher in https://github.com/ultralytics/yolov5/pull/2974 * Make cache saving optional by @glenn-jocher in https://github.com/ultralytics/yolov5/pull/2977 * YOLOv5 AWS Inferentia Inplace compatibility updates by @jluntamazon in https://github.com/ultralytics/yolov5/pull/2953 * PyTorch Hub load directly when possible by @glenn-jocher in https://github.com/ultralytics/yolov5/pull/2986 * Improve performance of dataset Logger by @AyushExel in https://github.com/ultralytics/yolov5/pull/2943 * Add unzip flag to download() by @glenn-jocher in https://github.com/ultralytics/yolov5/pull/3002 * Curl update by @glenn-jocher in https://github.com/ultralytics/yolov5/pull/3004 * Update hubconf.py for unified loading by @glenn-jocher in https://github.com/ultralytics/yolov5/pull/3005 * hubconf.py bug fix by @glenn-jocher in https://github.com/ultralytics/yolov5/pull/3007 * Added support for fp16 (half) to export.py by @hodovo in https://github.com/ultralytics/yolov5/pull/3010 * Add is_colab() function by @glenn-jocher in https://github.com/ultralytics/yolov5/pull/3018 * Add NMS threshold checks by @glenn-jocher in https://github.com/ultralytics/yolov5/pull/3020 * Fix ONNX export using --grid --simplify --dynamic simultaneously by @jylink in https://github.com/ultralytics/yolov5/pull/2982 * download() ThreadPool update by @glenn-jocher in https://github.com/ultralytics/yolov5/pull/3027 * FROM nvcr.io/nvidia/pytorch:21.04-py3 by @glenn-jocher in https://github.com/ultralytics/yolov5/pull/3030 * Fix #3031 : use check_file for --data by @AyushExel in https://github.com/ultralytics/yolov5/pull/3035 * Add get_coco128.sh for downloading the coco128 dataset by @zldrobit in https://github.com/ultralytics/yolov5/pull/3047 * Do not optimize CoreML TorchScript model by @glenn-jocher in https://github.com/ultralytics/yolov5/pull/3055 * Fixed #3042 by @kepler62f in https://github.com/ultralytics/yolov5/pull/3058 * Update export.py with --train mode argument by @glenn-jocher in https://github.com/ultralytics/yolov5/pull/3066 * Explicitly convert artifact path to posix_path by @AyushExel in https://github.com/ultralytics/yolov5/pull/3067 * Update P5 + P6 model ensembling by @glenn-jocher in https://github.com/ultralytics/yolov5/pull/3082 * Update detect.py by @glenn-jocher in https://github.com/ultralytics/yolov5/pull/3087 * Add check_python() by @glenn-jocher in https://github.com/ultralytics/yolov5/pull/3088 * Add --optimize argument by @glenn-jocher in https://github.com/ultralytics/yolov5/pull/3093 * Update train.py by @glenn-jocher in https://github.com/ultralytics/yolov5/pull/3099 * Update GlobalWheat2020.yaml test: # 1276 images by @glenn-jocher in https://github.com/ultralytics/yolov5/pull/3101 * detect.py streaming source `--save-crop` bug fix by @glenn-jocher in https://github.com/ultralytics/yolov5/pull/3102 * Replace print() with logging.info() in trainloader by @glenn-jocher in https://github.com/ultralytics/yolov5/pull/3103 * New Ultralytics Colors() Palette by @glenn-jocher in https://github.com/ultralytics/yolov5/pull/3046 * Update JSON response by @glenn-jocher in https://github.com/ultralytics/yolov5/pull/3139 * Update https://ultralytics.com/images/zidane.jpg by @glenn-jocher in https://github.com/ultralytics/yolov5/pull/3140 * Add yolov5/__init__.py by @KC-Zhang in https://github.com/ultralytics/yolov5/pull/3127 * Add `--include torchscript onnx coreml` argument by @CristiFati in https://github.com/ultralytics/yolov5/pull/3137 * TorchScript, ONNX, CoreML Export tutorial title by @glenn-jocher in https://github.com/ultralytics/yolov5/pull/3142 * Update requirements.txt `onnx>=1.9.0` by @glenn-jocher in https://github.com/ultralytics/yolov5/pull/3143 * Scope imports for torch.hub.list() improvement by @glenn-jocher in https://github.com/ultralytics/yolov5/pull/3144 * Scope all hubconf.py imports for torch.hub.list() by @glenn-jocher in https://github.com/ultralytics/yolov5/pull/3145 * SKU-110K CVPR2019 Dataset Auto-Download by @glenn-jocher in https://github.com/ultralytics/yolov5/pull/3167 * rename class autoShape -> AutoShape by @developer0hye in https://github.com/ultralytics/yolov5/pull/3173 * Parameterize ONNX `--opset-version` by @CristiFati in https://github.com/ultralytics/yolov5/pull/3154 * Add `device` argument to PyTorch Hub models by @cgerum in https://github.com/ultralytics/yolov5/pull/3104 * Plot labels.png histogram colors by @glenn-jocher in https://github.com/ultralytics/yolov5/pull/3192 * Add CAP_PROP_FRAME_COUNT for YouTube sources by @glenn-jocher in https://github.com/ultralytics/yolov5/pull/3193 * Silent List Bug Fix by @glenn-jocher in https://github.com/ultralytics/yolov5/pull/3214 * 0 FPS stream bug fix by @glenn-jocher in https://github.com/ultralytics/yolov5/pull/3216 * Parameterize max_det + inference default at 1000 by @adrianholovaty in https://github.com/ultralytics/yolov5/pull/3215 * TensorBoard add_graph() fix by @glenn-jocher in https://github.com/ultralytics/yolov5/pull/3236 * `plot_one_box()` default `color=(128, 128, 128)` by @yeric1789 in https://github.com/ultralytics/yolov5/pull/3240 * Add Cython by @glenn-jocher in https://github.com/ultralytics/yolov5/pull/3217 * Check CoreML models.train() mode by @glenn-jocher in https://github.com/ultralytics/yolov5/pull/3262 * Assert `--image-weights` not combined with DDP by @glenn-jocher in https://github.com/ultralytics/yolov5/pull/3275 * check `batch_size % utilized_device_count` by @glenn-jocher in https://github.com/ultralytics/yolov5/pull/3276 * YouTube stream ending fix by @glenn-jocher in https://github.com/ultralytics/yolov5/pull/3277 * Fix TypeError: 'PosixPath' object is not iterable by @glenn-jocher in https://github.com/ultralytics/yolov5/pull/3285 * Improves docs and handling of entities and resuming by WandbLogger by @charlesfrye in https://github.com/ultralytics/yolov5/pull/3264 * Update LoadStreams init fallbacks by @glenn-jocher in https://github.com/ultralytics/yolov5/pull/3295 * PyTorch Hub `crops = results.crop()` return values by @yeric1789 in https://github.com/ultralytics/yolov5/pull/3282 * Comment Cython by @glenn-jocher in https://github.com/ultralytics/yolov5/pull/3297 * Improved check_requirements() robustness by @glenn-jocher in https://github.com/ultralytics/yolov5/pull/3298 * Explicit `git clone` master by @glenn-jocher in https://github.com/ultralytics/yolov5/pull/3311 * Implement `@torch.no_grad()` decorator by @glenn-jocher in https://github.com/ultralytics/yolov5/pull/3312 * Remove www subdomain from https://ultralytics.com by @glenn-jocher in https://github.com/ultralytics/yolov5/pull/3320 * TensorBoard DP/DDP graph fix by @glenn-jocher in https://github.com/ultralytics/yolov5/pull/3325 * yolo.py header by @glenn-jocher in https://github.com/ultralytics/yolov5/pull/3347 * Updated cache v0.2 with `hashlib` by @glenn-jocher in https://github.com/ultralytics/yolov5/pull/3350 * Add URL file download to check_file() by @glenn-jocher in https://github.com/ultralytics/yolov5/pull/3330 * ONNX export in `.train()` mode fix by @ChaofWang in https://github.com/ultralytics/yolov5/pull/3362 * Ignore blank lines in `*.txt` labels by @glenn-jocher in https://github.com/ultralytics/yolov5/pull/3366 * update ci-testing.yml by @SkalskiP in https://github.com/ultralytics/yolov5/pull/3322 * Enable direct `--weights URL` definition by @glenn-jocher in https://github.com/ultralytics/yolov5/pull/3373 * Add Open in Kaggle badge by @pizzaz93 in https://github.com/ultralytics/yolov5/pull/3368 * `cv2.imread(img, -1)` for IMREAD_UNCHANGED by @tudoulei in https://github.com/ultralytics/yolov5/pull/3379 * COCO evolution fix by @glenn-jocher in https://github.com/ultralytics/yolov5/pull/3388 * Create `is_pip()` function by @glenn-jocher in https://github.com/ultralytics/yolov5/pull/3391 * Revert "`cv2.imread(img, -1)` for IMREAD_UNCHANGED" by @glenn-jocher in https://github.com/ultralytics/yolov5/pull/3395 * Update FLOPs description. by @chocosaj in https://github.com/ultralytics/yolov5/pull/3422 * Parse URL authentication by @glenn-jocher in https://github.com/ultralytics/yolov5/pull/3424 * Add FLOPs title to table by @glenn-jocher in https://github.com/ultralytics/yolov5/pull/3453 * Suppress jit trace warning + graph once by @glenn-jocher in https://github.com/ultralytics/yolov5/pull/3454 * Update MixUp augmentation `alpha=beta=32.0` by @glenn-jocher in https://github.com/ultralytics/yolov5/pull/3455 * Add `timeout()` class by @glenn-jocher in https://github.com/ultralytics/yolov5/pull/3460 * Faster HSV augmentation by @developer0hye in https://github.com/ultralytics/yolov5/pull/3462 * Add `check_git_status()` 5 second timeout by @glenn-jocher in https://github.com/ultralytics/yolov5/pull/3464 * Improved `check_requirements()` offline-handling by @glenn-jocher in https://github.com/ultralytics/yolov5/pull/3466 * Add `output_names` argument for ONNX export with dynamic axes by @SamSamhuns in https://github.com/ultralytics/yolov5/pull/3456 * Revert FP16 `test.py` and `detect.py` inference to FP32 default by @edificewang in https://github.com/ultralytics/yolov5/pull/3423 * Add additional links/resources to stale.yml message by @glenn-jocher in https://github.com/ultralytics/yolov5/pull/3467 * Update stale.yml HUB URL by @glenn-jocher in https://github.com/ultralytics/yolov5/pull/3468 * Stale `github.actor` bug fix by @glenn-jocher in https://github.com/ultralytics/yolov5/pull/3483 * Explicit `model.eval()` call `if opt.train=False` by @developer0hye in https://github.com/ultralytics/yolov5/pull/3475 * check_requirements() exclude `opencv-python` by @glenn-jocher in https://github.com/ultralytics/yolov5/pull/3495 * check_requirements() exclude `opencv-python` by @glenn-jocher in https://github.com/ultralytics/yolov5/pull/3507 * early assert for cpu and half option by @developer0hye in https://github.com/ultralytics/yolov5/pull/3508 * Update tutorial.ipynb by @glenn-jocher in https://github.com/ultralytics/yolov5/pull/3510 * Reduce test.py results spacing by @glenn-jocher in https://github.com/ultralytics/yolov5/pull/3511 * Update README.md by @glenn-jocher in https://github.com/ultralytics/yolov5/pull/3512 * Merge `develop` branch into `master` by @glenn-jocher in https://github.com/ultralytics/yolov5/pull/3518 * Use multi-threading in cache_labels by @deanmark in https://github.com/ultralytics/yolov5/pull/3505 * Update datasets.py by @glenn-jocher in https://github.com/ultralytics/yolov5/pull/3531 * Update FP16 `--half` argument for test.py and detect.py by @glenn-jocher in https://github.com/ultralytics/yolov5/pull/3532 * Update `dataset_stats()` for HUB by @glenn-jocher in https://github.com/ultralytics/yolov5/pull/3536 * On-demand `pycocotools` pip install by @glenn-jocher in https://github.com/ultralytics/yolov5/pull/3547 * Update `check_python(minimum=3.6.2)` by @glenn-jocher in https://github.com/ultralytics/yolov5/pull/3548 * Update README.md by @glenn-jocher in https://github.com/ultralytics/yolov5/pull/3550 * Remove `opt` from `create_dataloader()`` by @glenn-jocher in https://github.com/ultralytics/yolov5/pull/3552 * Remove `is_coco` argument from `test()` by @glenn-jocher in https://github.com/ultralytics/yolov5/pull/3553 * Multi-GPU default to single device 0 by @glenn-jocher in https://github.com/ultralytics/yolov5/pull/3554 * Update test.py profiling by @glenn-jocher in https://github.com/ultralytics/yolov5/pull/3555 * Remove redundant speed/study `half` argument by @glenn-jocher in https://github.com/ultralytics/yolov5/pull/3557 * Bump pip from 18.1 to 19.2 in /utils/google_app_engine by @dependabot in https://github.com/ultralytics/yolov5/pull/3561 * Refactor test.py arguments by @glenn-jocher in https://github.com/ultralytics/yolov5/pull/3558 * Refactor detect.py arguments by @glenn-jocher in https://github.com/ultralytics/yolov5/pull/3559 * Refactor models/export.py arguments by @glenn-jocher in https://github.com/ultralytics/yolov5/pull/3564 * Refactoring cleanup by @glenn-jocher in https://github.com/ultralytics/yolov5/pull/3565 * Ignore Seaborn plot warnings by @glenn-jocher in https://github.com/ultralytics/yolov5/pull/3576 * Update export.py, yolo.py `sys.path.append()` by @glenn-jocher in https://github.com/ultralytics/yolov5/pull/3579 * Update stale.yml by @glenn-jocher in https://github.com/ultralytics/yolov5/pull/3585 * Add ConfusionMatrix `normalize=True` flag by @glenn-jocher in https://github.com/ultralytics/yolov5/pull/3586 * ConfusionMatrix `normalize=True` fix by @glenn-jocher in https://github.com/ultralytics/yolov5/pull/3587 * train.py GPU memory fix by @glenn-jocher in https://github.com/ultralytics/yolov5/pull/3590 * W&B: Allow changed in config variable by @AyushExel in https://github.com/ultralytics/yolov5/pull/3588 * Update `dataset_stats()` by @glenn-jocher in https://github.com/ultralytics/yolov5/pull/3593 * Delete __init__.py by @glenn-jocher in https://github.com/ultralytics/yolov5/pull/3596 * Simplify README.md by @kalenmike in https://github.com/ultralytics/yolov5/pull/3530 * Update datasets.py by @masoodazhar in https://github.com/ultralytics/yolov5/pull/3591 * Download COCO and VOC by default by @glenn-jocher in https://github.com/ultralytics/yolov5/pull/3608 * Suppress wandb images size mismatch warning by @AyushExel in https://github.com/ultralytics/yolov5/pull/3611 * Fix incorrect end epoch by @wq9 in https://github.com/ultralytics/yolov5/pull/3612 * Update `check_file()` by @glenn-jocher in https://github.com/ultralytics/yolov5/pull/3622 * Update README.md by @glenn-jocher in https://github.com/ultralytics/yolov5/pull/3624 * FROM nvcr.io/nvidia/pytorch:21.05-py3 by @glenn-jocher in https://github.com/ultralytics/yolov5/pull/3633 * Add `**/*.torchscript.pt` by @glenn-jocher in https://github.com/ultralytics/yolov5/pull/3634 * Update `verify_image_label()` by @glenn-jocher in https://github.com/ultralytics/yolov5/pull/3635 * RUN pip install --no-cache -U torch torchvision by @glenn-jocher in https://github.com/ultralytics/yolov5/pull/3637 * Assert non-premature end of JPEG images by @xiaowk5516 in https://github.com/ultralytics/yolov5/pull/3638 * Update CONTRIBUTING.md by @glenn-jocher in https://github.com/ultralytics/yolov5/pull/3645 * Update CONTRIBUTING.md by @glenn-jocher in https://github.com/ultralytics/yolov5/pull/3647 * `is_coco` list fix by @thanhminhmr in https://github.com/ultralytics/yolov5/pull/3646 * Update README.md by @SpongeBab in https://github.com/ultralytics/yolov5/pull/3650 * Update `dataset_stats()` to list of dicts by @glenn-jocher in https://github.com/ultralytics/yolov5/pull/3657 * Remove `/weights` directory by @glenn-jocher in https://github.com/ultralytics/yolov5/pull/3659 * Update download_weights.sh comment by @glenn-jocher in https://github.com/ultralytics/yolov5/pull/3662 * Update train.py by @glenn-jocher in https://github.com/ultralytics/yolov5/pull/3667 * Update `train(hyp, *args)` to accept `hyp` file or dict by @glenn-jocher in https://github.com/ultralytics/yolov5/pull/3668 * Update TensorBoard by @glenn-jocher in https://github.com/ultralytics/yolov5/pull/3669 * Update `WORLD_SIZE` and `RANK` retrieval by @glenn-jocher in https://github.com/ultralytics/yolov5/pull/3670 * Cache v0.3: improved corrupt image/label reporting by @glenn-jocher in https://github.com/ultralytics/yolov5/pull/3676 * EMA changes for pre-model's batch_size by @ZouJiu1 in https://github.com/ultralytics/yolov5/pull/3681 * Update README.md by @glenn-jocher in https://github.com/ultralytics/yolov5/pull/3684 * Update cache check by @glenn-jocher in https://github.com/ultralytics/yolov5/pull/3691 * Skip HSV augmentation when hyperparameters are [0, 0, 0] by @thanhminhmr in https://github.com/ultralytics/yolov5/pull/3686 * Slightly modify CLI execution by @lb-desupervised in https://github.com/ultralytics/yolov5/pull/3687 * Reformat by @glenn-jocher in https://github.com/ultralytics/yolov5/pull/3694 * Update DDP for `torch.distributed.run` with `gloo` backend by @glenn-jocher in https://github.com/ultralytics/yolov5/pull/3680 * Eliminate `total_batch_size` variable by @glenn-jocher in https://github.com/ultralytics/yolov5/pull/3697 * Add torch DP warning by @glenn-jocher in https://github.com/ultralytics/yolov5/pull/3698 * Add `train.run()` method by @glenn-jocher in https://github.com/ultralytics/yolov5/pull/3700 * Update DDP backend `if dist.is_nccl_available()` by @glenn-jocher in https://github.com/ultralytics/yolov5/pull/3705 * [x]W&B: Don't resume transfer learning runs by @AyushExel in https://github.com/ultralytics/yolov5/pull/3604 * Update 4 main ops for paths and .run() by @glenn-jocher in https://github.com/ultralytics/yolov5/pull/3715 * Fix `img2label_paths()` order by @glenn-jocher in https://github.com/ultralytics/yolov5/pull/3720 * Fix typo in export.py by @fcakyon in https://github.com/ultralytics/yolov5/pull/3729 * Backwards compatible cache version checks by @glenn-jocher in https://github.com/ultralytics/yolov5/pull/3730 * Update `check_datasets()` for dynamic unzip path by @glenn-jocher in https://github.com/ultralytics/yolov5/pull/3732 * Create `data/hyps` directory by @glenn-jocher in https://github.com/ultralytics/yolov5/pull/3747 * Force non-zero hyp evolution weights `w` by @glenn-jocher in https://github.com/ultralytics/yolov5/pull/3748 * edit comment for img2tensor process by @developer0hye in https://github.com/ultralytics/yolov5/pull/3759 * Add optional dataset.yaml `path` attribute by @glenn-jocher in https://github.com/ultralytics/yolov5/pull/3753 * COCO annotations JSON fix by @glenn-jocher in https://github.com/ultralytics/yolov5/pull/3764 * Add `xyxy2xywhn()` by @developer0hye in https://github.com/ultralytics/yolov5/pull/3765 * Remove DDP `nn.MultiheadAttention` fix by @glenn-jocher in https://github.com/ultralytics/yolov5/pull/3768 * fix/incorrect_fitness_import by @SkalskiP in https://github.com/ultralytics/yolov5/pull/3770 * W&B: Update Tables API and comply with new dataset_check by @AyushExel in https://github.com/ultralytics/yolov5/pull/3772 * NGA xView 2018 Dataset Auto-Download by @glenn-jocher in https://github.com/ultralytics/yolov5/pull/3775 * Update README.md fix banner width by @glenn-jocher in https://github.com/ultralytics/yolov5/pull/3785 * Objectness IoU Sort by @glenn-jocher in https://github.com/ultralytics/yolov5/pull/3610 * Update objectness IoU sort by @glenn-jocher in https://github.com/ultralytics/yolov5/pull/3786 * Create hyp.scratch-p6.yaml by @glenn-jocher in https://github.com/ultralytics/yolov5/pull/3787 * Fix datasets for aws and get_coco.sh by @glenn-jocher in https://github.com/ultralytics/yolov5/pull/3788 * Update seeds for single-GPU reproducibility by @glenn-jocher in https://github.com/ultralytics/yolov5/pull/3789 * Update Usage examples by @glenn-jocher in https://github.com/ultralytics/yolov5/pull/3790 * nvcr.io/nvidia/pytorch:21.06-py3 by @glenn-jocher in https://github.com/ultralytics/yolov5/pull/3791 * Update Dockerfile by @glenn-jocher in https://github.com/ultralytics/yolov5/pull/3792 * FROM nvcr.io/nvidia/pytorch:21.05-py3 by @glenn-jocher in https://github.com/ultralytics/yolov5/pull/3794 * Fix competition link by @batrlatom in https://github.com/ultralytics/yolov5/pull/3799 * Fix warmup `accumulate` by @yellowdolphin in https://github.com/ultralytics/yolov5/pull/3722 * Add feature map visualization by @Zigars in https://github.com/ultralytics/yolov5/pull/3804 * Update `feature_visualization()` by @glenn-jocher in https://github.com/ultralytics/yolov5/pull/3807 * Fix for `dataset_stats()` with updated data.yaml by @glenn-jocher in https://github.com/ultralytics/yolov5/pull/3819 * Move IoU functions to metrics.py by @glenn-jocher in https://github.com/ultralytics/yolov5/pull/3820 * Concise `TransformerBlock()` by @glenn-jocher in https://github.com/ultralytics/yolov5/pull/3821 * Fix `LoadStreams()` dataloader frame skip issue by @feras-oughali in https://github.com/ultralytics/yolov5/pull/3833 * Plot `AutoShape()` detections in ascending order by @glenn-jocher in https://github.com/ultralytics/yolov5/pull/3843 * Copy-Paste augmentation for YOLOv5 by @glenn-jocher in https://github.com/ultralytics/yolov5/pull/3845 * Add EXIF rotation to YOLOv5 Hub inference by @vaaliferov in https://github.com/ultralytics/yolov5/pull/3852 * `--evolve 300` generations CLI argument by @san-soucie in https://github.com/ultralytics/yolov5/pull/3863 * Add multi-stream saving feature by @ketan-b in https://github.com/ultralytics/yolov5/pull/3864 * Models `*.yaml` reformat by @glenn-jocher in https://github.com/ultralytics/yolov5/pull/3875 * Create `utils/augmentations.py` by @glenn-jocher in https://github.com/ultralytics/yolov5/pull/3877 * Improved BGR2RGB speeds by @glenn-jocher in https://github.com/ultralytics/yolov5/pull/3880 * Evolution commented `hyp['anchors']` fix by @glenn-jocher in https://github.com/ultralytics/yolov5/pull/3887 * Hub models `map_location=device` by @glenn-jocher in https://github.com/ultralytics/yolov5/pull/3894 * YOLOv5 + Albumentations integration by @glenn-jocher in https://github.com/ultralytics/yolov5/pull/3882 * Save PyTorch Hub models to `/root/hub/cache/dir` by @johnohagan in https://github.com/ultralytics/yolov5/pull/3904 * Feature visualization update by @glenn-jocher in https://github.com/ultralytics/yolov5/pull/3920 * Fix `torch.hub.list('ultralytics/yolov5')` pathlib bug by @glenn-jocher in https://github.com/ultralytics/yolov5/pull/3921 * Update `setattr()` default for Hub PIL images by @jmiranda-laplateforme in https://github.com/ultralytics/yolov5/pull/3923 * `feature_visualization()` CUDA fix by @glenn-jocher in https://github.com/ultralytics/yolov5/pull/3925 * Update `dataset_stats()` for zipped datasets by @glenn-jocher in https://github.com/ultralytics/yolov5/pull/3926 * Fix inconsistent NMS IoU value for COCO by @eldarkurtic in https://github.com/ultralytics/yolov5/pull/3934 * Feature visualization improvements 32 by @glenn-jocher in https://github.com/ultralytics/yolov5/pull/3947 * Update augmentations.py by @glenn-jocher in https://github.com/ultralytics/yolov5/pull/3948 * Cache v0.4 update by @glenn-jocher in https://github.com/ultralytics/yolov5/pull/3954 * Numerical stability fix for Albumentations by @glenn-jocher in https://github.com/ultralytics/yolov5/pull/3958 * Update `albumentations>=1.0.2` by @glenn-jocher in https://github.com/ultralytics/yolov5/pull/3966 * Update `np.random.random()` to `random.random()` by @glenn-jocher in https://github.com/ultralytics/yolov5/pull/3967 * Update requirements.txt `albumentations>=1.0.2` by @glenn-jocher in https://github.com/ultralytics/yolov5/pull/3972 * `Ensemble()` visualize fix by @seven320 in https://github.com/ultralytics/yolov5/pull/3973 * Update `probability` to `p` by @glenn-jocher in https://github.com/ultralytics/yolov5/pull/3980 * Alert (no detections) by @glenn-jocher in https://github.com/ultralytics/yolov5/pull/3984 * Update README.md by @glenn-jocher in https://github.com/ultralytics/yolov5/pull/3996 * Rename `test.py` to `val.py` by @glenn-jocher in https://github.com/ultralytics/yolov5/pull/4000 * W&B: Proposal for supporting W&B sweeps by @AyushExel in https://github.com/ultralytics/yolov5/pull/3938 * Update greetings.yml by @glenn-jocher in https://github.com/ultralytics/yolov5/pull/4024 * Add `--sync-bn` known issue by @glenn-jocher in https://github.com/ultralytics/yolov5/pull/4032 * Update greetings.yml by @glenn-jocher in https://github.com/ultralytics/yolov5/pull/4037 * Update README.md by @glenn-jocher in https://github.com/ultralytics/yolov5/pull/4041 * AutoShape PosixPath support by @glenn-jocher in https://github.com/ultralytics/yolov5/pull/4047 * `val.py` refactor by @glenn-jocher in https://github.com/ultralytics/yolov5/pull/4053 * Module `super().__init__()` by @glenn-jocher in https://github.com/ultralytics/yolov5/pull/4065 * Missing `nc` and `names` handling in check_dataset() by @glenn-jocher in https://github.com/ultralytics/yolov5/pull/4066 * Albumentations >= 1.0.3 by @glenn-jocher in https://github.com/ultralytics/yolov5/pull/4068 * W&B: fix refactor bugs by @AyushExel in https://github.com/ultralytics/yolov5/pull/4069 * Refactor `export.py` by @glenn-jocher in https://github.com/ultralytics/yolov5/pull/4080 * Addition refactor `export.py` by @glenn-jocher in https://github.com/ultralytics/yolov5/pull/4089 * Add train.py `--img-size` floor by @glenn-jocher in https://github.com/ultralytics/yolov5/pull/4099 * Update resume.py by @glenn-jocher in https://github.com/ultralytics/yolov5/pull/4115 * Fix indentation in `log_training_progress()` by @imyhxy in https://github.com/ultralytics/yolov5/pull/4126 * Update README.md by @glenn-jocher in https://github.com/ultralytics/yolov5/pull/4134 * detect.py ONNX inference feature by @glenn-jocher in https://github.com/ultralytics/yolov5/pull/4073 * Rename `opset_version` to `opset` by @glenn-jocher in https://github.com/ultralytics/yolov5/pull/4135 * Update train.py by @glenn-jocher in https://github.com/ultralytics/yolov5/pull/4136 * Refactor train.py and val.py `loggers` by @glenn-jocher in https://github.com/ultralytics/yolov5/pull/4137 * Update README.md by @glenn-jocher in https://github.com/ultralytics/yolov5/pull/4143 * Add `export.py` ONNX inference suggestion by @glenn-jocher in https://github.com/ultralytics/yolov5/pull/4146 * New CSV Logger by @glenn-jocher in https://github.com/ultralytics/yolov5/pull/4148 * Update dataset comments by @glenn-jocher in https://github.com/ultralytics/yolov5/pull/4162 * Update script headers by @glenn-jocher in https://github.com/ultralytics/yolov5/pull/4163 * W&B: Improve documentation of the logger & use wandb assigned run names by default by @AyushExel in https://github.com/ultralytics/yolov5/pull/4174 * Update comments header by @glenn-jocher in https://github.com/ultralytics/yolov5/pull/4184 * Train from `--data path/to/dataset.zip` feature by @glenn-jocher in https://github.com/ultralytics/yolov5/pull/4185 * Create yolov5-bifpn.yaml by @glenn-jocher in https://github.com/ultralytics/yolov5/pull/4195 * Update Hub Path inputs by @glenn-jocher in https://github.com/ultralytics/yolov5/pull/4200 * W&B: Restructure code to support the new dataset_check() feature by @AyushExel in https://github.com/ultralytics/yolov5/pull/4197 * Update yolov5-bifpn.yaml by @glenn-jocher in https://github.com/ultralytics/yolov5/pull/4208 * W&B: More improvements and refactoring by @AyushExel in https://github.com/ultralytics/yolov5/pull/4205 * PyCharm reformat by @glenn-jocher in https://github.com/ultralytics/yolov5/pull/4209 * Add `@try_except` decorator by @glenn-jocher in https://github.com/ultralytics/yolov5/pull/4224 * Explicit `requirements.txt` location by @glenn-jocher in https://github.com/ultralytics/yolov5/pull/4225 * Suppress torch 1.9.0 `max_pool2d()` warning by @glenn-jocher in https://github.com/ultralytics/yolov5/pull/4227 * Fix weight decay comment by @glenn-jocher in https://github.com/ultralytics/yolov5/pull/4228 * Update profiler by @glenn-jocher in https://github.com/ultralytics/yolov5/pull/4236 * Add `python train.py --freeze N` argument by @IneovaAI in https://github.com/ultralytics/yolov5/pull/4238 * Update `profile()` for CUDA Memory allocation by @glenn-jocher in https://github.com/ultralytics/yolov5/pull/4239 * Add `train.py` and `val.py` callbacks by @kalenmike in https://github.com/ultralytics/yolov5/pull/4220 * W&B: suppress warnings by @AyushExel in https://github.com/ultralytics/yolov5/pull/4257 * Update AP calculation by @glenn-jocher in https://github.com/ultralytics/yolov5/pull/4260 * Update Autoshape forward header by @glenn-jocher in https://github.com/ultralytics/yolov5/pull/4271 * Update variables by @glenn-jocher in https://github.com/ultralytics/yolov5/pull/4273 * Add `DWConvClass()` by @glenn-jocher in https://github.com/ultralytics/yolov5/pull/4274 * Update 'results saved to' string by @glenn-jocher in https://github.com/ultralytics/yolov5/pull/4275 * W&B: Fix sweep bug by @AyushExel in https://github.com/ultralytics/yolov5/pull/4276 * Feature `python train.py --cache disk` by @junjihashimoto in https://github.com/ultralytics/yolov5/pull/4049 * Fixed logging level in distributed mode by @imyhxy in https://github.com/ultralytics/yolov5/pull/4284 * Simplify callbacks by @glenn-jocher in https://github.com/ultralytics/yolov5/pull/4289 * Evolve in CSV format by @glenn-jocher in https://github.com/ultralytics/yolov5/pull/4307 * Update newline by @glenn-jocher in https://github.com/ultralytics/yolov5/pull/4308 * Update README.md by @Justsubh01 in https://github.com/ultralytics/yolov5/pull/4309 * Simpler code for DWConvClass by @developer0hye in https://github.com/ultralytics/yolov5/pull/4310 * `int(mlc)` by @glenn-jocher in https://github.com/ultralytics/yolov5/pull/4385 * fix module count in parse_model by @orangeccc in https://github.com/ultralytics/yolov5/pull/4379 * Update README.md by @glenn-jocher in https://github.com/ultralytics/yolov5/pull/4387 * W&B: Add advanced features tutorial by @AyushExel in https://github.com/ultralytics/yolov5/pull/4384 * W&B: Fix for 4360 by @AyushExel in https://github.com/ultralytics/yolov5/pull/4388 * Fix rename `utils.google_utils` to `utils.downloads` by @glenn-jocher in https://github.com/ultralytics/yolov5/pull/4393 * Simplify ONNX inference command by @glenn-jocher in https://github.com/ultralytics/yolov5/pull/4405 * No cache option for reading datasets by @ahmadmustafaanis in https://github.com/ultralytics/yolov5/pull/4376 * Update plots.py PIL box plotting by @glenn-jocher in https://github.com/ultralytics/yolov5/pull/4407 * Add `yolov5s-ghost.yaml` by @glenn-jocher in https://github.com/ultralytics/yolov5/pull/4412 * Remove `encoding='ascii'` by @glenn-jocher in https://github.com/ultralytics/yolov5/pull/4413 * Merge PIL and OpenCV in `plot_one_box(use_pil=False)` by @glenn-jocher in https://github.com/ultralytics/yolov5/pull/4416 * Standardize headers and docstrings by @glenn-jocher in https://github.com/ultralytics/yolov5/pull/4417 * Add `SPPF()` layer by @glenn-jocher in https://github.com/ultralytics/yolov5/pull/4420 * Remove DDP process group timeout by @glenn-jocher in https://github.com/ultralytics/yolov5/pull/4422 * Update hubconf.py `attempt_load` import by @OmidSa75 in https://github.com/ultralytics/yolov5/pull/4428 * TFLite preparation by @glenn-jocher in https://github.com/ultralytics/yolov5/pull/4436 * Add TensorFlow and TFLite export by @zldrobit in https://github.com/ultralytics/yolov5/pull/1127 * Fix default `--weights yolov5s.pt` by @glenn-jocher in https://github.com/ultralytics/yolov5/pull/4458 * Fix missing labels after albumentations by @huuquan1994 in https://github.com/ultralytics/yolov5/pull/4455 * `check_requirements(('coremltools',))` by @glenn-jocher in https://github.com/ultralytics/yolov5/pull/4478 * W&B: Refactor the wandb_utils.py file by @AyushExel in https://github.com/ultralytics/yolov5/pull/4496 * Add `install=True` argument to `check_requirements` by @glenn-jocher in https://github.com/ultralytics/yolov5/pull/4512 * Automatic TFLite uint8 determination by @glenn-jocher in https://github.com/ultralytics/yolov5/pull/4515 * Fix for `python models/yolo.py --profile` by @glenn-jocher in https://github.com/ultralytics/yolov5/pull/4541 * Auto-fix corrupt JPEGs by @glenn-jocher in https://github.com/ultralytics/yolov5/pull/4548 * Fix for corrupt JPEGs auto-fix PR by @glenn-jocher in https://github.com/ultralytics/yolov5/pull/4560 * Fix for AP calculation limits 0.0 - 1.0 by @glenn-jocher in https://github.com/ultralytics/yolov5/pull/4563 * ONNX opset 13 by @glenn-jocher in https://github.com/ultralytics/yolov5/pull/4566 * Add EarlyStopping feature by @glenn-jocher in https://github.com/ultralytics/yolov5/pull/4576 * Remove `image_weights` DDP code by @glenn-jocher in https://github.com/ultralytics/yolov5/pull/4579 * Add `Profile()` profiler by @glenn-jocher in https://github.com/ultralytics/yolov5/pull/4587 * Fix bug in `plot_one_box` when label is `None` by @karasawatakumi in https://github.com/ultralytics/yolov5/pull/4588 * Create `Annotator()` class by @glenn-jocher in https://github.com/ultralytics/yolov5/pull/4591 * Auto-UTF handling by @glenn-jocher in https://github.com/ultralytics/yolov5/pull/4594 * Re-order `plots.py` to class-first by @glenn-jocher in https://github.com/ultralytics/yolov5/pull/4595 * Update mosaic plots font size by @glenn-jocher in https://github.com/ultralytics/yolov5/pull/4596 * TensorBoard `on_train_end()` speed improvements by @glenn-jocher in https://github.com/ultralytics/yolov5/pull/4605 * Auto-download Arial.ttf on init by @glenn-jocher in https://github.com/ultralytics/yolov5/pull/4606 * Fix: add P2 layer 21 to yolov5-p2.yaml `Detect()` inputs by @YukunXia in https://github.com/ultralytics/yolov5/pull/4608 * Update `check_git_status()` warning by @glenn-jocher in https://github.com/ultralytics/yolov5/pull/4610 * W&B: Don't log models in evolve operation by @AyushExel in https://github.com/ultralytics/yolov5/pull/4611 * Close `matplotlib` plots after opening by @glenn-jocher in https://github.com/ultralytics/yolov5/pull/4612 * DDP `torch.jit.trace()` `--sync-bn` fix by @glenn-jocher in https://github.com/ultralytics/yolov5/pull/4615 * Fix for Arial.ttf redownloads with hub inference by @glenn-jocher in https://github.com/ultralytics/yolov5/pull/4627 * Fix 2 for Arial.ttf redownloads with hub inference by @glenn-jocher in https://github.com/ultralytics/yolov5/pull/4628 * Fix 3 for Arial.ttf redownloads with hub inference by @glenn-jocher in https://github.com/ultralytics/yolov5/pull/4629 * Fix for `plot_evolve()` string argument by @glenn-jocher in https://github.com/ultralytics/yolov5/pull/4639 * Fix `is_coco` on missing `data['val']` key by @glenn-jocher in https://github.com/ultralytics/yolov5/pull/4642 * Fixed 'meta' and 'hyp' may out of order when using evolve by @imyhxy in https://github.com/ultralytics/yolov5/pull/4657 * EarlyStopper updates by @glenn-jocher in https://github.com/ultralytics/yolov5/pull/4679 * Optimised Callback Class to Reduce Code and Fix Errors by @kalenmike in https://github.com/ultralytics/yolov5/pull/4688 * Remove redundant `ComputeLoss` code by @zhiqwang in https://github.com/ultralytics/yolov5/pull/4701 * Add suffix checks by @glenn-jocher in https://github.com/ultralytics/yolov5/pull/4711 * Fix `check_suffix()` by @glenn-jocher in https://github.com/ultralytics/yolov5/pull/4712 * Update `check_yaml()` comment by @glenn-jocher in https://github.com/ultralytics/yolov5/pull/4713 * Add `user_config_dir('Ultralytics')` by @glenn-jocher in https://github.com/ultralytics/yolov5/pull/4715 * Add `crops = results.crop()` dictionary by @ELHoussineT in https://github.com/ultralytics/yolov5/pull/4676 * Make CONFIG_DIR configurable per environment variable by @joaodiogocosta in https://github.com/ultralytics/yolov5/pull/4727 * Allow `multi_label` option for NMS with PyTorch Hub by @jeanbmar in https://github.com/ultralytics/yolov5/pull/4728 * Scope `onnx-simplifier` requirements check by @Zegorax in https://github.com/ultralytics/yolov5/pull/4730 * Fix `user_config_dir()` for GCP/AWS functions by @glenn-jocher in https://github.com/ultralytics/yolov5/pull/4726 * Fix `--data from_HUB.zip` by @glenn-jocher in https://github.com/ultralytics/yolov5/pull/4732 * Improved `detect.py` timing by @glenn-jocher in https://github.com/ultralytics/yolov5/pull/4741 * Add `callbacks` to train function in W&B sweep by @jveitchmichaelis in https://github.com/ultralytics/yolov5/pull/4742 * Fix `is_writeable()` for 3 OS support by @glenn-jocher in https://github.com/ultralytics/yolov5/pull/4743 * Add TF and TFLite models to `.gitignore` by @glenn-jocher in https://github.com/ultralytics/yolov5/pull/4747 * Add TF and TFLite models to `.dockerignore` by @glenn-jocher in https://github.com/ultralytics/yolov5/pull/4748 * Update `is_writeable()` for 2 methods by @glenn-jocher in https://github.com/ultralytics/yolov5/pull/4744 * Centralize `user_config_dir()` decision making by @glenn-jocher in https://github.com/ultralytics/yolov5/pull/4755 * Replace `path.absolute()` with `path.resolve()` by @glenn-jocher in https://github.com/ultralytics/yolov5/pull/4763 * Add TensorFlow formats to `export.py` by @glenn-jocher in https://github.com/ultralytics/yolov5/pull/4479 * Update ci-testing.yml by @glenn-jocher in https://github.com/ultralytics/yolov5/pull/4770 * Update ci-testing.yml by @glenn-jocher in https://github.com/ultralytics/yolov5/pull/4772 * Shuffle all 4(or 9) images in mosaic augmentation by @kimnamu in https://github.com/ultralytics/yolov5/pull/4787 * Add `--int8` argument by @glenn-jocher in https://github.com/ultralytics/yolov5/pull/4799 * Evolution `--resume` fix by @glenn-jocher in https://github.com/ultralytics/yolov5/pull/4802 * Refactor `forward()` method profiling by @glenn-jocher in https://github.com/ultralytics/yolov5/pull/4816 * Feature/fix export on url by @kalenmike in https://github.com/ultralytics/yolov5/pull/4823 * Fix 'PyTorch starting from' for URL weights by @glenn-jocher in https://github.com/ultralytics/yolov5/pull/4828 * Multiple TF export improvements by @zldrobit in https://github.com/ultralytics/yolov5/pull/4824 * Fix val.py study plot by @glenn-jocher in https://github.com/ultralytics/yolov5/pull/4831 * `PIL.ImageDraw.text(anchor=...)` removal, reduce to `>=7.1.2` by @glenn-jocher in https://github.com/ultralytics/yolov5/pull/4842 * Sorted datasets update to `cache_labels()` by @glenn-jocher in https://github.com/ultralytics/yolov5/pull/4845 * Single `cache_version` definition by @glenn-jocher in https://github.com/ultralytics/yolov5/pull/4846 * W&B: Enable login timeout by @AyushExel in https://github.com/ultralytics/yolov5/pull/4843 * Consolidate `init_seeds()` by @glenn-jocher in https://github.com/ultralytics/yolov5/pull/4849 * Refactor argparser printing to `print_args()` by @glenn-jocher in https://github.com/ultralytics/yolov5/pull/4850 * Update `sys.path.append(str(ROOT))` by @glenn-jocher in https://github.com/ultralytics/yolov5/pull/4852 * Simplify `check_requirements()` usage by @glenn-jocher in https://github.com/ultralytics/yolov5/pull/4855 * Update greetings.yml by @glenn-jocher in https://github.com/ultralytics/yolov5/pull/4856 * Update Dockerfile by @glenn-jocher in https://github.com/ultralytics/yolov5/pull/4861 * Update Dockerfile by @glenn-jocher in https://github.com/ultralytics/yolov5/pull/4862 * Fix DDP destruction `LOGGER.info()` by @glenn-jocher in https://github.com/ultralytics/yolov5/pull/4863 * Annotator `check_font()` RANK -1 remove progress by @glenn-jocher in https://github.com/ultralytics/yolov5/pull/4864 * W&B: Login only in master processes by @AyushExel in https://github.com/ultralytics/yolov5/pull/4866 * W&B: Fix dataset check by @AyushExel in https://github.com/ultralytics/yolov5/pull/4879 * Fix arg help string to match 'classes' arg name. by @NauchtanRobotics in https://github.com/ultralytics/yolov5/pull/4893 * Avoid out-of-image class labels by @zldrobit in https://github.com/ultralytics/yolov5/pull/4902 * TensorFlow.js export enhancements by @zldrobit in https://github.com/ultralytics/yolov5/pull/4905 * fix zipfile name for coco128-segments by @SamFC10 in https://github.com/ultralytics/yolov5/pull/4914 * Replace `os.system('unzip file.zip')` -> `ZipFile.extractall()` by @glenn-jocher in https://github.com/ultralytics/yolov5/pull/4919 * Fix `root` referenced before assignment by @glenn-jocher in https://github.com/ultralytics/yolov5/pull/4920 * Add Slack Forum badge to README by @glenn-jocher in https://github.com/ultralytics/yolov5/pull/4930 * Validate `best.pt` on train end by @glenn-jocher in https://github.com/ultralytics/yolov5/pull/4889 * Update default Albumentations by @glenn-jocher in https://github.com/ultralytics/yolov5/pull/4931 * Scope `check_file()` search space by @glenn-jocher in https://github.com/ultralytics/yolov5/pull/4933 * Update Dockerfile by @glenn-jocher in https://github.com/ultralytics/yolov5/pull/4935 * Automatic Chinese fonts plotting by @glenn-jocher in https://github.com/ultralytics/yolov5/pull/4951 * Allow YOLOv5 execution from arbitrary `cwd` by @glenn-jocher in https://github.com/ultralytics/yolov5/pull/4954 * Update relative `ROOT` logic by @glenn-jocher in https://github.com/ultralytics/yolov5/pull/4955 * Add `roboflow` by @glenn-jocher in https://github.com/ultralytics/yolov5/pull/4956 * Fix `isascii()` method calls for python 3.6 by @d57montes in https://github.com/ultralytics/yolov5/pull/4958 * Fix relative `ROOT` Pytorch Hub custom model bug by @glenn-jocher in https://github.com/ultralytics/yolov5/pull/4974 * Add Roboflow to README by @kalenmike in https://github.com/ultralytics/yolov5/pull/4972 * Update wandb_utils.py by @d57montes in https://github.com/ultralytics/yolov5/pull/4953 * Add Hub custom models to CI tests by @glenn-jocher in https://github.com/ultralytics/yolov5/pull/4978 * Faster `--img 64` CI tests by @glenn-jocher in https://github.com/ultralytics/yolov5/pull/4979 * Clickable CI badge by @glenn-jocher in https://github.com/ultralytics/yolov5/pull/4985 * Revert `torch.hub.load()` test by @glenn-jocher in https://github.com/ultralytics/yolov5/pull/4986 * Fix URL parsing bug by @kalenmike in https://github.com/ultralytics/yolov5/pull/4998 * Update W&B README by @glenn-jocher in https://github.com/ultralytics/yolov5/pull/5006 * Add YOLOv5 Survey link to README.md by @kalenmike in https://github.com/ultralytics/yolov5/pull/5000 * Update train.py by @glenn-jocher in https://github.com/ultralytics/yolov5/pull/5014 * Update README.md by @glenn-jocher in https://github.com/ultralytics/yolov5/pull/5015 * Compute loss on final val by @glenn-jocher in https://github.com/ultralytics/yolov5/pull/5017 * Fix missing `opt.device` on `--task study` by @glenn-jocher in https://github.com/ultralytics/yolov5/pull/5031 * Fix pylint: do not use bare 'except' by @zhiqwang in https://github.com/ultralytics/yolov5/pull/5025 * Clip TTA Augmented Tails by @glenn-jocher in https://github.com/ultralytics/yolov5/pull/5028 * Implement `--save-period` locally by @glenn-jocher in https://github.com/ultralytics/yolov5/pull/5047 * Fix `yaml.safe_load()` ignore emoji errors by @glenn-jocher in https://github.com/ultralytics/yolov5/pull/5060 * Update Dockerfile to `ADD` Arial.ttf by @glenn-jocher in https://github.com/ultralytics/yolov5/pull/5084 * Update datasets.py comments by @glenn-jocher in https://github.com/ultralytics/yolov5/pull/5088 * Re-open IP-camera videostream if disconnected by @EgOrlukha in https://github.com/ultralytics/yolov5/pull/5074 * Fix SKU-110K HUB: `OSError` by @glenn-jocher in https://github.com/ultralytics/yolov5/pull/5106 * Add `requests` to requirements.txt by @sandstorm12 in https://github.com/ultralytics/yolov5/pull/5112 * Pass `LOCAL_RANK` to `torch_distributed_zero_first()` by @qiningonline in https://github.com/ultralytics/yolov5/pull/5114 * Fix different devices bug when moving model from GPU to CPU by @SamFC10 in https://github.com/ultralytics/yolov5/pull/5110 * Pass `--device` for `--task study` by @glenn-jocher in https://github.com/ultralytics/yolov5/pull/5118 * Update val.py `--speed` and `--study` usages by @glenn-jocher in https://github.com/ultralytics/yolov5/pull/5120 * Update val.py `pad = 0.0 if task == 'speed' else 0.5` by @glenn-jocher in https://github.com/ultralytics/yolov5/pull/5121 * Update plots.py by @glenn-jocher in https://github.com/ultralytics/yolov5/pull/5127 * Fix `ROOT` as relative path by @maltelorbach in https://github.com/ultralytics/yolov5/pull/5129 * Refactor `Detect()` anchors for ONNX <> OpenCV DNN compatibility by @SamFC10 in https://github.com/ultralytics/yolov5/pull/4833 * Add OpenCV DNN option for ONNX inference by @glenn-jocher in https://github.com/ultralytics/yolov5/pull/5136 * update `detect.py` in order to support torch script by @andreiionutdamian in https://github.com/ultralytics/yolov5/pull/5109 New Contributors (73) * @robmarkcole made their first contribution in https://github.com/ultralytics/yolov5/pull/2732 * @timstokman made their first contribution in https://github.com/ultralytics/yolov5/pull/2856 * @Ab-Abdurrahman made their first contribution in https://github.com/ultralytics/yolov5/pull/2827 * @JoshSong made their first contribution in https://github.com/ultralytics/yolov5/pull/2871 * @MichHeilig made their first contribution in https://github.com/ultralytics/yolov5/pull/2883 * @r-blmnr made their first contribution in https://github.com/ultralytics/yolov5/pull/2890 * @fcakyon made their first contribution in https://github.com/ultralytics/yolov5/pull/2817 * @Ashafix made their first contribution in https://github.com/ultralytics/yolov5/pull/2658 * @albinxavi made their first 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Photoplethysmography (PPG) is easy to measure and provides important parameters related to heart rate and arrhythmia. However, automated PPG methods have not been developed because of their susceptibility to motion artifacts and differences in waveform characteristics among individuals. With increasing use of telemedicine, there is growing interest in application of deep neural network (DNN) technology for efficient analysis of vast amounts of PPG data. This study is about an algorithm for measuring a patient's PPG and comparing it with their own data stored previously and with the average data of several groups. Six deep neural networks were used to normalize the PPG waveform according to the heart rate by removing uninformative regions from the PPG, distinguishing between heartbeat and reflection pulses, dividing the heartbeat waveform into 10 segments and averaging the values according to each segments. PPG data were measured using telemedicine in both groups. Group 1 consisted of healthy people aged 25 to 35 years, and Group 2 consisted of patients between 60 and 75 years of age taking antihypertensive medications. The proposed algorithm could accurately determine which group the subject belonged with the newly measured PPG data (AUC = 0.998). On the other hand, errors were frequently observed in identification of individuals (AUC = 0.819).
An example of using OpenCV dnn module with YOLOv8. (ObjectDetection, Segmentation, Classification, PoseEstimation) - EnoxSoftware/YOLOv8WithOpenCVForUnityExample
