Ultralytics

- All checkpoints are trained to 90 epochs with SGD optimizer with `lr0=0.001` and `weight_decay=5e-5` at image size 224 and all default settings.<br>Runs logged to https://wandb.ai/glenn-jocher/YOLOv5-Classifier-v6-2
- **Accuracy** values are for single-model single-scale on [ImageNet-1k](https://www.image-net.org/index.php) dataset.<br>Reproduce by `python classify/val.py --data ../datasets/imagenet --img 224`
- **Speed** averaged over 100 inference images using a [Colab Pro](https://colab.research.google.com/signup) V100 High-RAM instance.<br>Reproduce by `python classify/val.py --data ../datasets/imagenet --img 224 --batch 1`
- **Export** to ONNX at FP32 and TensorRT at FP16 done with `export.py`. <br>Reproduce by `python export.py --weights yolov5s-cls.pt --include engine onnx --imgsz 224`

New Classification Model Usage Examples

Train
YOLOv5 classification training supports auto-download of MNIST, Fashion-MNIST, CIFAR10, CIFAR100, Imagenette, Imagewoof, and ImageNet datasets with the `--data` argument. To start training on MNIST for example use `--data mnist`.

bash
Single-GPU
python classify/train.py --model yolov5s-cls.pt --data cifar100 --epochs 5 --img 224 --batch 128

Multi-GPU DDP
python -m torch.distributed.run --nproc_per_node 4 --master_port 1 classify/train.py --model yolov5s-cls.pt --data imagenet --epochs 5 --img 224 --device 0,1,2,3


Val
Validate YOLOv5m-cls accuracy on ImageNet-1k dataset:
bash
bash data/scripts/get_imagenet.sh --val download ImageNet val split (6.3G, 50000 images)
python classify/val.py --weights yolov5m-cls.pt --data ../datasets/imagenet --img 224 validate


Predict
Use pretrained YOLOv5s-cls.pt to predict bus.jpg:
bash
python classify/predict.py --weights yolov5s-cls.pt --data data/images/bus.jpg

python
model = torch.hub.load('ultralytics/yolov5', 'custom', 'yolov5s-cls.pt') load from PyTorch Hub


Export
Export a group of trained YOLOv5s-cls, ResNet and EfficientNet models to ONNX and TensorRT:
bash
python export.py --weights yolov5s-cls.pt resnet50.pt efficientnet_b0.pt --include onnx engine --img 224


Changelog

- Changes between **previous release and this release**: https://github.com/ultralytics/yolov5/compare/v6.1...v6.2
- Changes **since this release**: https://github.com/ultralytics/yolov5/compare/v6.2...HEAD

<details>
<summary>🛠️ New Features and Bug Fixes (401)</summary>

* Pre-commit table fix by glenn-jocher in https://github.com/ultralytics/yolov5/pull/6744
* Update tutorial.ipynb (2 CPUs, 12.7 GB RAM, 42.2/166.8 GB disk) by glenn-jocher in https://github.com/ultralytics/yolov5/pull/6767
* Update min warmup iterations from 1k to 100 by glenn-jocher in https://github.com/ultralytics/yolov5/pull/6768
* Default `OMP_NUM_THREADS=8` by glenn-jocher in https://github.com/ultralytics/yolov5/pull/6770
* Update tutorial.ipynb by glenn-jocher in https://github.com/ultralytics/yolov5/pull/6771
* Update hyp.VOC.yaml by glenn-jocher in https://github.com/ultralytics/yolov5/pull/6772
* Fix export for 1-channel images by lcombaldieu in https://github.com/ultralytics/yolov5/pull/6780
* Update EMA decay `tau` by glenn-jocher in https://github.com/ultralytics/yolov5/pull/6769
* YOLOv5s6 params FLOPs fix by glenn-jocher in https://github.com/ultralytics/yolov5/pull/6782
* Update PULL_REQUEST_TEMPLATE.md by glenn-jocher in https://github.com/ultralytics/yolov5/pull/6783
* Update autoanchor.py by glenn-jocher in https://github.com/ultralytics/yolov5/pull/6794
* Update sweep.yaml by lcombaldieu in https://github.com/ultralytics/yolov5/pull/6825
* AutoAnchor improved initialization robustness by glenn-jocher in https://github.com/ultralytics/yolov5/pull/6854
* Add `*.ts` to `VID_FORMATS` by glenn-jocher in https://github.com/ultralytics/yolov5/pull/6859
* Update `--cache disk` deprecate `*_npy/` dirs by glenn-jocher in https://github.com/ultralytics/yolov5/pull/6876
* Update yolov5s.yaml by vnekat in https://github.com/ultralytics/yolov5/pull/6865
* Default FP16 TensorRT export by DavidBaldsiefen in https://github.com/ultralytics/yolov5/pull/6798
* Bump actions/setup-python from 2 to 3 by dependabot in https://github.com/ultralytics/yolov5/pull/6880
* Bump actions/checkout from 2 to 3 by dependabot in https://github.com/ultralytics/yolov5/pull/6881
* Fix TRT `max_workspace_size` deprecation notice by glenn-jocher in https://github.com/ultralytics/yolov5/pull/6856
* Update bytes to GB with bit shift by glenn-jocher in https://github.com/ultralytics/yolov5/pull/6886
* Move `git_describe()` to general.py by glenn-jocher in https://github.com/ultralytics/yolov5/pull/6918
* PyTorch 1.11.0 compatibility updates by glenn-jocher in https://github.com/ultralytics/yolov5/pull/6932
* Optimize PyTorch 1.11.0 compatibility update by glenn-jocher in https://github.com/ultralytics/yolov5/pull/6933
* Allow 3-point segments by glenn-jocher in https://github.com/ultralytics/yolov5/pull/6938
* Fix PyTorch Hub export inference shapes by glenn-jocher in https://github.com/ultralytics/yolov5/pull/6949
* DetectMultiBackend() `--half` handling by glenn-jocher in https://github.com/ultralytics/yolov5/pull/6945
* Update Dockerfile `torch==1.11.0+cu113` by glenn-jocher in https://github.com/ultralytics/yolov5/pull/6954
* New val.py `cuda` variable by glenn-jocher in https://github.com/ultralytics/yolov5/pull/6957
* DetectMultiBackend() return `device` update by glenn-jocher in https://github.com/ultralytics/yolov5/pull/6958
* Tensor initialization on device improvements by glenn-jocher in https://github.com/ultralytics/yolov5/pull/6959
* EdgeTPU optimizations by paradigmn in https://github.com/ultralytics/yolov5/pull/6808
* Model `ema` key backward compatibility fix by glenn-jocher in https://github.com/ultralytics/yolov5/pull/6972
* YOLOv5 Export Benchmarks for GPU by glenn-jocher in https://github.com/ultralytics/yolov5/pull/6963
* Update TQDM bar format by glenn-jocher in https://github.com/ultralytics/yolov5/pull/6988
* Conditional `Timeout()` by OS (disable on Windows) by glenn-jocher in https://github.com/ultralytics/yolov5/pull/7013
* fix: add default PIL font as fallback by maxstrobel in https://github.com/ultralytics/yolov5/pull/7010
* Consistent saved_model output format by MrinalJain17 in https://github.com/ultralytics/yolov5/pull/7032
* `ComputeLoss()` indexing/speed improvements by glenn-jocher in https://github.com/ultralytics/yolov5/pull/7048
* Update Dockerfile to `git clone` instead of `COPY` by glenn-jocher in https://github.com/ultralytics/yolov5/pull/7053
* Create SECURITY.md by glenn-jocher in https://github.com/ultralytics/yolov5/pull/7054
* Fix incomplete URL substring sanitation by glenn-jocher in https://github.com/ultralytics/yolov5/pull/7056
* Use PIL to eliminate chroma subsampling in crops by LaserBorg in https://github.com/ultralytics/yolov5/pull/7008
* Fix `check_anchor_order()` in pixel-space not grid-space by glenn-jocher in https://github.com/ultralytics/yolov5/pull/7060
* Update detect.py non-inplace with `y.tensor_split()` by glenn-jocher in https://github.com/ultralytics/yolov5/pull/7062
* Update common.py lists for tuples by glenn-jocher in https://github.com/ultralytics/yolov5/pull/7063
* Update W&B message to `LOGGER.info()` by glenn-jocher in https://github.com/ultralytics/yolov5/pull/7064
* Update __init__.py by glenn-jocher in https://github.com/ultralytics/yolov5/pull/7065
* Add non-zero `da` `check_anchor_order()` condition by glenn-jocher in https://github.com/ultralytics/yolov5/pull/7066
* Fix2 `check_anchor_order()` in pixel-space not grid-space by glenn-jocher in https://github.com/ultralytics/yolov5/pull/7067
* Revert "Update detect.py non-inplace with `y.tensor_split()`" by glenn-jocher in https://github.com/ultralytics/yolov5/pull/7074
* Update loss.py with `if self.gr < 1:` by glenn-jocher in https://github.com/ultralytics/yolov5/pull/7087
* Update loss for FP16 `tobj` by glenn-jocher in https://github.com/ultralytics/yolov5/pull/7088
* Display model name in model summary by glenn-jocher in https://github.com/ultralytics/yolov5/pull/7101
* `torch.split()` 1.7.0 compatibility fix by glenn-jocher in https://github.com/ultralytics/yolov5/pull/7102
* Update benchmarks significant digits by glenn-jocher in https://github.com/ultralytics/yolov5/pull/7103
* Model summary `pathlib` fix by glenn-jocher in https://github.com/ultralytics/yolov5/pull/7104
* Remove named arguments where possible by glenn-jocher in https://github.com/ultralytics/yolov5/pull/7105
* Multi-threaded VisDrone and VOC downloads by glenn-jocher in https://github.com/ultralytics/yolov5/pull/7108
* `np.fromfile()` Chinese image paths fix by yeshanliu in https://github.com/ultralytics/yolov5/pull/6979
* Add PyTorch Hub `results.save(labels=False)` option by glenn-jocher in https://github.com/ultralytics/yolov5/pull/7129
* Fix `cv2.imwrite` on non-ASCII paths by CCRcmcpe in https://github.com/ultralytics/yolov5/pull/7139
* Fix `detect.py --view-img` for non-ASCII paths by Zengyf-CVer in https://github.com/ultralytics/yolov5/pull/7093
* Add Architecture Summary to README Tutorials by glenn-jocher in https://github.com/ultralytics/yolov5/pull/7146
* Adjust NMS time limit warning to batch size by glenn-jocher in https://github.com/ultralytics/yolov5/pull/7156
* Sidestep `os.path.relpath()` Windows bug by glenn-jocher in https://github.com/ultralytics/yolov5/pull/7158
* NMS unused variable fix by glenn-jocher in https://github.com/ultralytics/yolov5/pull/7161
* `yolo.py --profile` updates by glenn-jocher in https://github.com/ultralytics/yolov5/pull/7170
* Revert `C3()` change by glenn-jocher in https://github.com/ultralytics/yolov5/pull/7172
* Bump actions/cache from 2.1.7 to 3 by dependabot in https://github.com/ultralytics/yolov5/pull/7175
* yolo.py profiling updates by glenn-jocher in https://github.com/ultralytics/yolov5/pull/7178
* Update tutorial.ipynb by glenn-jocher in https://github.com/ultralytics/yolov5/pull/7212
* `ENV OMP_NUM_THREADS=8` by glenn-jocher in https://github.com/ultralytics/yolov5/pull/7215
* Add train.py `--name cfg` option by glenn-jocher in https://github.com/ultralytics/yolov5/pull/7202
* precommit: yapf by Borda in https://github.com/ultralytics/yolov5/pull/5494
* CLI `fire` prep updates by glenn-jocher in https://github.com/ultralytics/yolov5/pull/7229
* Update .pre-commit-config.yaml by glenn-jocher in https://github.com/ultralytics/yolov5/pull/7230
* SavedModel TF Serve Fix by glenn-jocher in https://github.com/ultralytics/yolov5/pull/7228
* Create CODE_OF_CONDUCT.md by glenn-jocher in https://github.com/ultralytics/yolov5/pull/7233
* Fix `www.youtube.com` hostname by glenn-jocher in https://github.com/ultralytics/yolov5/pull/7242
* Update minimum Python>=3.7.0 by glenn-jocher in https://github.com/ultralytics/yolov5/pull/7247
* Update setup.cfg to `description_file` field by glenn-jocher in https://github.com/ultralytics/yolov5/pull/7248
* Update tutorial.ipynb by glenn-jocher in https://github.com/ultralytics/yolov5/pull/7254
* Update tutorial.ipynb by glenn-jocher in https://github.com/ultralytics/yolov5/pull/7255
* Fix Flask REST API by Zengyf-CVer in https://github.com/ultralytics/yolov5/pull/7210
* Export with official `nn.SiLU()` by glenn-jocher in https://github.com/ultralytics/yolov5/pull/7256
* Refactor out-of-place `Detect()` for reduced ops by glenn-jocher in https://github.com/ultralytics/yolov5/pull/7257
* `torch.split()` replace slicing on out-of-place inference by glenn-jocher in https://github.com/ultralytics/yolov5/pull/7258
* Export single output only by glenn-jocher in https://github.com/ultralytics/yolov5/pull/7259
* TorchScript single-output fix by glenn-jocher in https://github.com/ultralytics/yolov5/pull/7261
* Integrate offset into grid by glenn-jocher in https://github.com/ultralytics/yolov5/pull/7262
* [pre-commit.ci] pre-commit suggestions by pre-commit-ci in https://github.com/ultralytics/yolov5/pull/7279
* Update Dockerfile by glenn-jocher in https://github.com/ultralytics/yolov5/pull/7282
* Enable TensorFlow ops for `--nms` and `--agnostic-nms` by leeflix in https://github.com/ultralytics/yolov5/pull/7281
* Update `cv2.imread()` patch with flags argument by glenn-jocher in https://github.com/ultralytics/yolov5/pull/7287
* Context manager `open(file) as f` fixes by glenn-jocher in https://github.com/ultralytics/yolov5/pull/7289
* val.py `--weights` and `--data` compatibility check by glenn-jocher in https://github.com/ultralytics/yolov5/pull/7292
* Add dataset sizes (zipped) by glenn-jocher in https://github.com/ultralytics/yolov5/pull/7293
* Add `check_requirements(('pycocotools>=2.0',))` by glenn-jocher in https://github.com/ultralytics/yolov5/pull/7295
* fix: disable usage of root logger by maxstrobel in https://github.com/ultralytics/yolov5/pull/7296
* Update export.py by glenn-jocher in https://github.com/ultralytics/yolov5/pull/7301
* Use `tqdm.auto` by glenn-jocher in https://github.com/ultralytics/yolov5/pull/7311
* Add `retry=3` to `download()` by glenn-jocher in https://github.com/ultralytics/yolov5/pull/7313
* Add callbacks by glenn-jocher in https://github.com/ultralytics/yolov5/pull/7315
* Copy wandb param dict before training to avoid overwrites. by n1mmy in https://github.com/ultralytics/yolov5/pull/7317
* Update Objects365.yaml by glenn-jocher in https://github.com/ultralytics/yolov5/pull/7323
* Fix TF export for BottleneckCSP layer by nrupatunga in https://github.com/ultralytics/yolov5/pull/7330
* Objects365 images GB vs zips GB by glenn-jocher in https://github.com/ultralytics/yolov5/pull/7335
* Simplify callbacks.py return by glenn-jocher in https://github.com/ultralytics/yolov5/pull/7333
* Print dataset scan only `if RANK in (-1, 0)` by glenn-jocher in https://github.com/ultralytics/yolov5/pull/7337
* Update `_make_grid()` to model `dtype` by glenn-jocher in https://github.com/ultralytics/yolov5/pull/7346
* Rename 'MacOS' to 'macOS' by glenn-jocher in https://github.com/ultralytics/yolov5/pull/7349
* Add `python benchmarks.py --test` for export-only by glenn-jocher in https://github.com/ultralytics/yolov5/pull/7350
* Add ONNX export metadata by glenn-jocher in https://github.com/ultralytics/yolov5/pull/7353
* DetectMultiBackend() default `stride=32` by rglkt in https://github.com/ultralytics/yolov5/pull/7342
* Loss and IoU speed improvements by glenn-jocher in https://github.com/ultralytics/yolov5/pull/7361
* Swap `unsafe_chunk()` for `chunk()` by glenn-jocher in https://github.com/ultralytics/yolov5/pull/7362
* Delete FUNDING.yml by glenn-jocher in https://github.com/ultralytics/yolov5/pull/7363
* Replace Slack with Community Forum in issues by glenn-jocher in https://github.com/ultralytics/yolov5/pull/7364
* Update ci-testing.yml by glenn-jocher in https://github.com/ultralytics/yolov5/pull/7365
* Bump actions/stale from 4 to 5 by dependabot in https://github.com/ultralytics/yolov5/pull/7371
* Update optimizer param group strategy by glenn-jocher in https://github.com/ultralytics/yolov5/pull/7376
* Add support for different normalization layers by vardanagarwal in https://github.com/ultralytics/yolov5/pull/7377
* Dynamic normalization layer selection by glenn-jocher in https://github.com/ultralytics/yolov5/pull/7392
* Add version warning for wandb by AyushExel in https://github.com/ultralytics/yolov5/pull/7385
* Remove OpenVINO ONNX `opset<=12` check by glenn-jocher in https://github.com/ultralytics/yolov5/pull/7398
* Fix EdgeTPU output directory by glenn-jocher in https://github.com/ultralytics/yolov5/pull/7399
* Update `git_describe()` by glenn-jocher in https://github.com/ultralytics/yolov5/pull/7402
* Remove `tensorrt` pip install check by glenn-jocher in https://github.com/ultralytics/yolov5/pull/7439
* Disable `pbar` for DDP ranks > 0 by glenn-jocher in https://github.com/ultralytics/yolov5/pull/7440
* Add `--half` support for FP16 CoreML exports with by Cedric-Perauer in https://github.com/ultralytics/yolov5/pull/7446
* Bump cirrus-actions/rebase from 1.5 to 1.6 by dependabot in https://github.com/ultralytics/yolov5/pull/7462
* Update val.py by HERIUN in https://github.com/ultralytics/yolov5/pull/7478
* Improved non-latin `Annotator()` plotting by glenn-jocher in https://github.com/ultralytics/yolov5/pull/7488
* `check_fonts()` download to `CONFIG_DIR` fix by glenn-jocher in https://github.com/ultralytics/yolov5/pull/7489
* Fix val.py Ensemble() by glenn-jocher in https://github.com/ultralytics/yolov5/pull/7490
* Added `YOLOv5_AUTOINSTALL` environment variable by jkocherhans in https://github.com/ultralytics/yolov5/pull/7505
* Refactor Dockerfiles to `utils/docker` by glenn-jocher in https://github.com/ultralytics/yolov5/pull/7510
* Add yesqa to precommit checks by Zengyf-CVer in https://github.com/ultralytics/yolov5/pull/7511
* Fix val `plots=plots` by glenn-jocher in https://github.com/ultralytics/yolov5/pull/7524
* Reduce val device transfers by glenn-jocher in https://github.com/ultralytics/yolov5/pull/7525
* Add Docker `--file` argument to build by glenn-jocher in https://github.com/ultralytics/yolov5/pull/7527
* Empty val batch CUDA device fix by glenn-jocher in https://github.com/ultralytics/yolov5/pull/7539
* Autoinstall TensorRT if missing by glenn-jocher in https://github.com/ultralytics/yolov5/pull/7537
* Add mdformat to precommit checks and update other version by Zengyf-CVer in https://github.com/ultralytics/yolov5/pull/7529
* Update precommit monthly python 3.7+ by glenn-jocher in https://github.com/ultralytics/yolov5/pull/7542
* Update downloads.py current release by Powercube7 in https://github.com/ultralytics/yolov5/pull/7541
* Update check_requirements() with `cmds=()` argument by glenn-jocher in https://github.com/ultralytics/yolov5/pull/7543
* Add `--noplots` flag to suppress figures and images logging by AyushExel in https://github.com/ultralytics/yolov5/pull/7534
* Improve availability of YOLOv5 in Russia by glenn-jocher in https://github.com/ultralytics/yolov5/pull/7545
* Update restapi.py by glenn-jocher in https://github.com/ultralytics/yolov5/pull/7309
* Restrict TRT autoinstall to Linux-only by glenn-jocher in https://github.com/ultralytics/yolov5/pull/7549
* PyTorch Hub `_verbose=False` fix2 by glenn-jocher in https://github.com/ultralytics/yolov5/pull/7550
* Enable `results.print()` when `_verbose=False` by glenn-jocher in https://github.com/ultralytics/yolov5/pull/7558
* Add `print(results)` override for PyTorch Hub results by glenn-jocher in https://github.com/ultralytics/yolov5/pull/7559
* TensorRT PyTorch Hub inference fix by glenn-jocher in https://github.com/ultralytics/yolov5/pull/7560
* Add PyTorch-only benchmark arg by glenn-jocher in https://github.com/ultralytics/yolov5/pull/7564
* Fix `from yolov5 import utils` statement by Jack24658735 in https://github.com/ultralytics/yolov5/pull/7578
* Remove `tqdm.auto` by glenn-jocher in https://github.com/ultralytics/yolov5/pull/7599
* Add `--half` support for OpenVINO exports by djmmoss in https://github.com/ultralytics/yolov5/pull/7615
* `increment_path()` robustness improvements by glenn-jocher in https://github.com/ultralytics/yolov5/pull/7628
* Reduce `opencv-python>=4.1.1` for Jetson Nano by glenn-jocher in https://github.com/ultralytics/yolov5/pull/7645
* Bump `scipy>=1.5` to meet numpy constraints by glenn-jocher in https://github.com/ultralytics/yolov5/pull/7646
* Update plot.py by sylvanding in https://github.com/ultralytics/yolov5/pull/7654
* Bump github/codeql-action from 1 to 2 by dependabot in https://github.com/ultralytics/yolov5/pull/7665
* Disallow `--dynamic` when `--half` is passed by dmatos2012 in https://github.com/ultralytics/yolov5/pull/7669
* Update Dockerfile-cpu to force python3.9 by glenn-jocher in https://github.com/ultralytics/yolov5/pull/7675
* Pin Docker-cpu `FROM ubuntu:20.04` by glenn-jocher in https://github.com/ultralytics/yolov5/pull/7677
* FROM nvcr.io/nvidia/pytorch:22.04-py3 by glenn-jocher in https://github.com/ultralytics/yolov5/pull/7680
* Update README.md by glenn-jocher in https://github.com/ultralytics/yolov5/pull/7686
* Update tutorial.ipynb by glenn-jocher in https://github.com/ultralytics/yolov5/pull/7715
* Update `on_train_end` callback by glenn-jocher in https://github.com/ultralytics/yolov5/pull/7716
* Report fused model summary by default by glenn-jocher in https://github.com/ultralytics/yolov5/pull/7722
* Ability to download older assets by CristiFati in https://github.com/ultralytics/yolov5/pull/7767
* Pin downloads to release version by glenn-jocher in https://github.com/ultralytics/yolov5/pull/7790
* Implement DDP `static_graph=True` by glenn-jocher in https://github.com/ultralytics/yolov5/pull/6940
* Add smoothing to curve plots and max F1 index by glenn-jocher in https://github.com/ultralytics/yolov5/pull/7798
* Add Dockerfile-M1 by glenn-jocher in https://github.com/ultralytics/yolov5/pull/7720
* Add random interpolation method augmentation by developer0hye in https://github.com/ultralytics/yolov5/pull/6826
* Rename `utils/datasets.py` -> `utils/dataloaders.py` by glenn-jocher in https://github.com/ultralytics/yolov5/pull/7799
* Add `threaded` decorator by glenn-jocher in https://github.com/ultralytics/yolov5/pull/7813
* Add Python version output by glenn-jocher in https://github.com/ultralytics/yolov5/pull/7814
* Refactor collections and fstrings by glenn-jocher in https://github.com/ultralytics/yolov5/pull/7821
* Refactor modules by glenn-jocher in https://github.com/ultralytics/yolov5/pull/7823
* YOLOv5 OpenVINO PyTorch Hub inference fix by glenn-jocher in https://github.com/ultralytics/yolov5/pull/7826
* New TensorFlow `TFDWConv()` module by glenn-jocher in https://github.com/ultralytics/yolov5/pull/7824
* Bump cirrus-actions/rebase from 1.6 to 1.7 by dependabot in https://github.com/ultralytics/yolov5/pull/7831
* New TensorFlow `TFCrossConv()` module by glenn-jocher in https://github.com/ultralytics/yolov5/pull/7827
* Fix TFDWConv() `c1 == c2` check by glenn-jocher in https://github.com/ultralytics/yolov5/pull/7842
* Replace `openvino-dev` with OpenVINO Runtime inference by GabrielDornelles in https://github.com/ultralytics/yolov5/pull/7843
* TFDWConv() `depthwise_initializer` fix by glenn-jocher in https://github.com/ultralytics/yolov5/pull/7845
* Update Dockerfile `--no-install-recommends` by glenn-jocher in https://github.com/ultralytics/yolov5/pull/7846
* Update CI CPU badge by glenn-jocher in https://github.com/ultralytics/yolov5/pull/7855
* Create docker.yml by glenn-jocher in https://github.com/ultralytics/yolov5/pull/7856
* Update Dockerfile-cpu install `libpython3.8-dev` by glenn-jocher in https://github.com/ultralytics/yolov5/pull/7857
* Add TFDWConv() `depth_multiplier` arg by glenn-jocher in https://github.com/ultralytics/yolov5/pull/7858
* Update Dockerfile-arm64 by glenn-jocher in https://github.com/ultralytics/yolov5/pull/7860
* Invert Docker Image publishing order by glenn-jocher in https://github.com/ultralytics/yolov5/pull/7877
* Removed shell=True from subprocess commands that require user inputs by JWLee89 in https://github.com/ultralytics/yolov5/pull/7875
* Added Windows cmd to count GPU devices by xylieong in https://github.com/ultralytics/yolov5/pull/7891
* Bug fix mAP0.5-0.95 by lebedevdes in https://github.com/ultralytics/yolov5/pull/6787
* `cv2.resize` interpolation fix by glenn-jocher in https://github.com/ultralytics/yolov5/pull/7903
* Add `DWConvTranspose2d()` module by glenn-jocher in https://github.com/ultralytics/yolov5/pull/7881
* Add `check_yaml()` to benchmarks.py by glenn-jocher in https://github.com/ultralytics/yolov5/pull/7916
* Add `--keras` argument for TF exports by glenn-jocher in https://github.com/ultralytics/yolov5/pull/7921
* Add PyTorch AMP check by glenn-jocher in https://github.com/ultralytics/yolov5/pull/7917
* Code refactor by glenn-jocher in https://github.com/ultralytics/yolov5/pull/7923
* AMP check image download backup by glenn-jocher in https://github.com/ultralytics/yolov5/pull/7936
* Fix AMP check tolerance by glenn-jocher in https://github.com/ultralytics/yolov5/pull/7937
* Windows `check_file()` fix by glenn-jocher in https://github.com/ultralytics/yolov5/pull/7938
* Add OpenVINO metadata to export by xylieong in https://github.com/ultralytics/yolov5/pull/7947
* OpenVINO metadata fix by glenn-jocher in https://github.com/ultralytics/yolov5/pull/7952
* OpenVINO metadata fix2 by xylieong in https://github.com/ultralytics/yolov5/pull/7954
* YOLOv5 Apple Metal Performance Shader (MPS) support by glenn-jocher in https://github.com/ultralytics/yolov5/pull/7878
* Increase NMS time limit to 50 ms/img by glenn-jocher in https://github.com/ultralytics/yolov5/pull/7956
* Increase NMS fixed time limit 300ms + 30ms/img by glenn-jocher in https://github.com/ultralytics/yolov5/pull/7957
* AMP check improvements backup YOLOv5n pretrained by glenn-jocher in https://github.com/ultralytics/yolov5/pull/7959
* Update greetings.yml by glenn-jocher in https://github.com/ultralytics/yolov5/pull/7965
* Update requirements.txt with Usage example by glenn-jocher in https://github.com/ultralytics/yolov5/pull/7966
* Remove `formats` variable to avoid `pd` conflict by glenn-jocher in https://github.com/ultralytics/yolov5/pull/7993
* `check_requirements()` Windows fix by glenn-jocher in https://github.com/ultralytics/yolov5/pull/7997
* Add `psutil` and `ipython` to requirements.txt by glenn-jocher in https://github.com/ultralytics/yolov5/pull/7998
* cURL download double quotes by glenn-jocher in https://github.com/ultralytics/yolov5/pull/7999
* Update and add benchmarks to ci-testing.yml by glenn-jocher in https://github.com/ultralytics/yolov5/pull/7996
* Add warning emoji ⚠️ on `--conf > 0.001` by glenn-jocher in https://github.com/ultralytics/yolov5/pull/8005
* Update CI benchmarks to ONNX autoinstall by glenn-jocher in https://github.com/ultralytics/yolov5/pull/8008
* Pin CI `protobuf==3.20.1` by glenn-jocher in https://github.com/ultralytics/yolov5/pull/8015
* `check_requirements()` "" Windows double quote by glenn-jocher in https://github.com/ultralytics/yolov5/pull/8016
* Add requirements.txt `protobuf<=3.20.1` by glenn-jocher in https://github.com/ultralytics/yolov5/pull/8017
* Add best.pt PyTorch Hub inference to CI by glenn-jocher in https://github.com/ultralytics/yolov5/pull/8024
* Add Dockerfile descriptions by glenn-jocher in https://github.com/ultralytics/yolov5/pull/8031
* Simplify and fix `--save-period` epoch 0 by glenn-jocher in https://github.com/ultralytics/yolov5/pull/8042
* `.detach()` on bias init by tcmyxc in https://github.com/ultralytics/yolov5/pull/8044
* `attempt_load()` deserialize fix by glenn-jocher in https://github.com/ultralytics/yolov5/pull/8051
* Fix FP32 TensorRT model export by SahilChachra in https://github.com/ultralytics/yolov5/pull/8046
* Make Docker actions conditional on `ultralytics/yolov5` repo by glenn-jocher in https://github.com/ultralytics/yolov5/pull/8060
* Update stale.yml to 300 ops per run by glenn-jocher in https://github.com/ultralytics/yolov5/pull/8061
* Fix torch `long` to `float` tensor on HUB macOS by glenn-jocher in https://github.com/ultralytics/yolov5/pull/8067
* Improved dataset error introspection by glenn-jocher in https://github.com/ultralytics/yolov5/pull/8091
* experimental.py Apple MPS device fix by glenn-jocher in https://github.com/ultralytics/yolov5/pull/8121
* [pre-commit.ci] pre-commit suggestions by pre-commit-ci in https://github.com/ultralytics/yolov5/pull/8119
* fix(utils): missing edge when resample segments by HRan2004 in https://github.com/ultralytics/yolov5/pull/8092
* AutoBatch checks against failed solutions by glenn-jocher in https://github.com/ultralytics/yolov5/pull/8159
* FROM nvcr.io/nvidia/pytorch:22.05-py3 by glenn-jocher in https://github.com/ultralytics/yolov5/pull/8162
* Docker GPU pip install `opencv-python<4.6.0.66` by glenn-jocher in https://github.com/ultralytics/yolov5/pull/8164
* Improved `dataset_stats()` YAML checks by glenn-jocher in https://github.com/ultralytics/yolov5/pull/8125
* Bump actions/setup-python from 3 to 4 by dependabot in https://github.com/ultralytics/yolov5/pull/8186
* Reject webcam inference on Colab/Kaggle by glenn-jocher in https://github.com/ultralytics/yolov5/pull/8209
* Remove streaming source sleep period by glenn-jocher in https://github.com/ultralytics/yolov5/pull/8243
* Prefer MPS over CPU if available by glenn-jocher in https://github.com/ultralytics/yolov5/pull/8210
* HUB dataset_stats() error reporting by glenn-jocher in https://github.com/ultralytics/yolov5/pull/8192
* `process_batch()` as numpy arrays by glenn-jocher in https://github.com/ultralytics/yolov5/pull/8254
* Created using Colaboratory by glenn-jocher in https://github.com/ultralytics/yolov5/pull/8255
* `logging.ERROR` on `RANK` not in (0, 1) by glenn-jocher in https://github.com/ultralytics/yolov5/pull/8284
* `device_name="MYRIAD" for Intel NCS2` comment by glenn-jocher in https://github.com/ultralytics/yolov5/pull/8327
* Allow preview resize in detect.py by RyanHir in https://github.com/ultralytics/yolov5/pull/8318
* Create README_cn.md by glenn-jocher in https://github.com/ultralytics/yolov5/pull/8344
* Allow detect.py to use video size for initial window size by NicholasZolton in https://github.com/ultralytics/yolov5/pull/8330
* Revamp Chinese docs by zhiqwang in https://github.com/ultralytics/yolov5/pull/8350
* Fix bias warmup LR init by glenn-jocher in https://github.com/ultralytics/yolov5/pull/8356
* Add File Size (MB) column to benchmarks by glenn-jocher in https://github.com/ultralytics/yolov5/pull/8359
* Update protobuf requirement from <=3.20.1 to <4.21.3 by dependabot in https://github.com/ultralytics/yolov5/pull/8346
* Fix ONNX `--dynamic` export on GPU by glenn-jocher in https://github.com/ultralytics/yolov5/pull/8378
* Update tutorial.ipynb by glenn-jocher in https://github.com/ultralytics/yolov5/pull/8380
* Implementation of Early Stopping for DDP training by giacomoguiduzzi in https://github.com/ultralytics/yolov5/pull/8345
* Improve `--local_rank` arg comment by pourmand1376 in https://github.com/ultralytics/yolov5/pull/8409
* Update cache comments by glenn-jocher in https://github.com/ultralytics/yolov5/pull/8414
* TRT `--half` fix autocast images to FP16 by glenn-jocher in https://github.com/ultralytics/yolov5/pull/8435
* Expose OpenVINO `batch_size` similarly to TensorRT by democat3457 in https://github.com/ultralytics/yolov5/pull/8437
* Do not prefer Apple MPS by glenn-jocher in https://github.com/ultralytics/yolov5/pull/8446
* Update stale.yml by glenn-jocher in https://github.com/ultralytics/yolov5/pull/8465
* [pre-commit.ci] pre-commit suggestions by pre-commit-ci in https://github.com/ultralytics/yolov5/pull/8470
* Exclude torch==1.12.0, torchvision==0.13.0 (Fix 8395) by mjun0812 in https://github.com/ultralytics/yolov5/pull/8497
* Update tutorial.ipynb by glenn-jocher in https://github.com/ultralytics/yolov5/pull/8507
* Training reproducibility improvements by AyushExel in https://github.com/ultralytics/yolov5/pull/8213
* Revert "Expose OpenVINO `batch_size` similarly to TensorRT" by glenn-jocher in https://github.com/ultralytics/yolov5/pull/8510
* Avoid FP64 ops for MPS support in train.py by glenn-jocher in https://github.com/ultralytics/yolov5/pull/8511
* Fix ap calculation bug 8464 by UnglvKitDe in https://github.com/ultralytics/yolov5/pull/8484
* Add `--hard-fail` argument to benchmarks for CI errors by glenn-jocher in https://github.com/ultralytics/yolov5/pull/8513
* Simplify benchmarks.py assertions by glenn-jocher in https://github.com/ultralytics/yolov5/pull/8515
* Properly expose `batch_size` from OpenVINO similarly to TensorRT by democat3457 in https://github.com/ultralytics/yolov5/pull/8514
* Add `--half` arguments to export.py Usage examples by glenn-jocher in https://github.com/ultralytics/yolov5/pull/8516
* XML export `--half` fix by glenn-jocher in https://github.com/ultralytics/yolov5/pull/8522
* Fix `LoadImages()` with dataset YAML lists by democat3457 in https://github.com/ultralytics/yolov5/pull/8517
* val.py `assert ncm == nc` fix by glenn-jocher in https://github.com/ultralytics/yolov5/pull/8545
* CIoU protected divides by glenn-jocher in https://github.com/ultralytics/yolov5/pull/8546
* Update metrics.py with IoU protected divides by glenn-jocher in https://github.com/ultralytics/yolov5/pull/8550
* Add TensorRT dependencies by Zengyf-CVer in https://github.com/ultralytics/yolov5/pull/8553
* Add `thop>=0.1.0` by glenn-jocher in https://github.com/ultralytics/yolov5/pull/8558
* Raise error on suffix-less model path by democat3457 in https://github.com/ultralytics/yolov5/pull/8561
* Assert `--optimize` not used with cuda device by democat3457 in https://github.com/ultralytics/yolov5/pull/8569
* Update requirements.txt comment spacing by glenn-jocher in https://github.com/ultralytics/yolov5/pull/8562
* Explicitly set `weight_decay` value by developer0hye in https://github.com/ultralytics/yolov5/pull/8592
* Update `scipy>=1.7.3` by glenn-jocher in https://github.com/ultralytics/yolov5/pull/8595
* Update `tqdm>=4.64.0` and `thop>=0.1.1` by glenn-jocher in https://github.com/ultralytics/yolov5/pull/8596
* Add `pip install wheel` to avoid legacy `setup.py install` by glenn-jocher in https://github.com/ultralytics/yolov5/pull/8597
* Link fuse() to AutoShape() for Hub models by glenn-jocher in https://github.com/ultralytics/yolov5/pull/8599
* FROM nvcr.io/nvidia/pytorch:22.06-py3 by glenn-jocher in https://github.com/ultralytics/yolov5/pull/8600
* Refactor optimizer initialization by glenn-jocher in https://github.com/ultralytics/yolov5/pull/8607
* assert torch!=1.12.0 for DDP training by glenn-jocher in https://github.com/ultralytics/yolov5/pull/8621
* Fix `OMP_NUM_THREADS=1` for macOS by glenn-jocher in https://github.com/ultralytics/yolov5/pull/8624
* Upgrade onnxsim to v0.4.1 by daquexian in https://github.com/ultralytics/yolov5/pull/8632
* Check TensorBoard logger before adding graph by JarnoRFB in https://github.com/ultralytics/yolov5/pull/8664
* Use contextlib's suppress method to silence an error by glenn-jocher in https://github.com/ultralytics/yolov5/pull/8668
* Update hubconf.py to reset LOGGER.level after load by glenn-jocher in https://github.com/ultralytics/yolov5/pull/8674
* Update warning emojis by glenn-jocher in https://github.com/ultralytics/yolov5/pull/8678
* Update hubconf.py to reset logging level to INFO by glenn-jocher in https://github.com/ultralytics/yolov5/pull/8680
* Add generator and worker seed by UnglvKitDe in https://github.com/ultralytics/yolov5/pull/8602
* Set `torch.cuda.manual_seed_all()` for DDP by glenn-jocher in https://github.com/ultralytics/yolov5/pull/8688
* Move .dockerignore to root by glenn-jocher in https://github.com/ultralytics/yolov5/pull/8690
* Faster crop saving by glenn-jocher in https://github.com/ultralytics/yolov5/pull/8696
* Remove `else:` from load_image() by glenn-jocher in https://github.com/ultralytics/yolov5/pull/8692
* Avoid cv2 window init code on Windows by glenn-jocher in https://github.com/ultralytics/yolov5/pull/8712
* Update dataloaders.py by glenn-jocher in https://github.com/ultralytics/yolov5/pull/8714
* New `HUBDatasetStats()` class by glenn-jocher in https://github.com/ultralytics/yolov5/pull/8716
* Fix BGR->RGB Bug in albumentations 8641 by UnglvKitDe in https://github.com/ultralytics/yolov5/pull/8695
* coremltools>=5.2 for CoreML export by glenn-jocher in https://github.com/ultralytics/yolov5/pull/8725
* Revert "Fix BGR->RGB Bug in albumentations 8641" by glenn-jocher in https://github.com/ultralytics/yolov5/pull/8727
* fix: broken ``is_docker`` check by maxstrobel in https://github.com/ultralytics/yolov5/pull/8711
* Revert protobuf<=3.20.1 by glenn-jocher in https://github.com/ultralytics/yolov5/pull/8742
* Dynamic batch size support for TensorRT by democat3457 in https://github.com/ultralytics/yolov5/pull/8526
* Fix confusion matrix update when no predictions are made by jbutle55 in https://github.com/ultralytics/yolov5/pull/8748
* Add val.py no label warning by glenn-jocher in https://github.com/ultralytics/yolov5/pull/8782
* Fix `detect.py --update` list bug by glenn-jocher in https://github.com/ultralytics/yolov5/pull/8783
* ci-testing.yml Windows-friendly ENV variables by glenn-jocher in https://github.com/ultralytics/yolov5/pull/8794
* Add hubconf.py argparser by glenn-jocher in https://github.com/ultralytics/yolov5/pull/8799
* Print hubconf.py args by glenn-jocher in https://github.com/ultralytics/yolov5/pull/8800
* Update Colab Notebook CI by glenn-jocher in https://github.com/ultralytics/yolov5/pull/8798
* Deprecate torch 1.6.0 `compat _non_persistent_buffers_set` by glenn-jocher in https://github.com/ultralytics/yolov5/pull/8797
* `Detect.inplace=False` for multithread-safe inference by glenn-jocher in https://github.com/ultralytics/yolov5/pull/8801
* Update train.py for `val.run(half=amp)` by glenn-jocher in https://github.com/ultralytics/yolov5/pull/8804
* Fix val.py 'no labels found bug' by glenn-jocher in https://github.com/ultralytics/yolov5/pull/8806
* Update requirements.txt with tf-cpu and tf-aarch64 by glenn-jocher in https://github.com/ultralytics/yolov5/pull/8807
* FROM nvcr.io/nvidia/pytorch:22.07-py3 by glenn-jocher in https://github.com/ultralytics/yolov5/pull/8808
* Update ci-testing.yml streamlined tests by glenn-jocher in https://github.com/ultralytics/yolov5/pull/8809
* Check git status on upstream `ultralytics` or `origin` dynamically by pourmand1376 in https://github.com/ultralytics/yolov5/pull/8694
* Fix Colab-update pre-commit EOF bug by glenn-jocher in https://github.com/ultralytics/yolov5/pull/8810
* Update .pre-commit-config.yaml by glenn-jocher in https://github.com/ultralytics/yolov5/pull/8811
* Update .pre-commit-config.yaml by glenn-jocher in https://github.com/ultralytics/yolov5/pull/8812
* Remove `assert not is_docker()` from GitHub checks by glenn-jocher in https://github.com/ultralytics/yolov5/pull/8813
* Add .git to .dockerignore by glenn-jocher in https://github.com/ultralytics/yolov5/pull/8815
* Add tensor hooks and 10.0 gradient clipping by UnglvKitDe in https://github.com/ultralytics/yolov5/pull/8598
* Update README.md with contributors.png by glenn-jocher in https://github.com/ultralytics/yolov5/pull/8820
* Remove hook `torch.nan_to_num(x)` by glenn-jocher in https://github.com/ultralytics/yolov5/pull/8826
* RUN git clone instead of COPY to `/usr/src/app` by glenn-jocher in https://github.com/ultralytics/yolov5/pull/8827
* [pre-commit.ci] pre-commit suggestions by pre-commit-ci in https://github.com/ultralytics/yolov5/pull/8828
* Fix missing attr model.model when loading custom yolov model by jacksonargo in https://github.com/ultralytics/yolov5/pull/8830
* New `smart_resume()` by glenn-jocher in https://github.com/ultralytics/yolov5/pull/8838
* Self-contained checkpoint `--resume` by glenn-jocher in https://github.com/ultralytics/yolov5/pull/8839
* Add check_file(data) i.e. `--data coco128.yaml` by glenn-jocher in https://github.com/ultralytics/yolov5/pull/8851
* export.py replace `check_file` -> `check_yaml` by glenn-jocher in https://github.com/ultralytics/yolov5/pull/8852
* Update dataloaders.py remove `float64` shapes by glenn-jocher in https://github.com/ultralytics/yolov5/pull/8865
* Fix TensorRT --dynamic excess outputs bug by glenn-jocher in https://github.com/ultralytics/yolov5/pull/8869
* Single-line TRT dynamic assertion by glenn-jocher in https://github.com/ultralytics/yolov5/pull/8871
* HUBDatasetStats() preview images to 50 quality by glenn-jocher in https://github.com/ultralytics/yolov5/pull/8880
* `--resume` training from URL weights by glenn-jocher in https://github.com/ultralytics/yolov5/pull/8882
* `--resume` training from URL weights fix by glenn-jocher in https://github.com/ultralytics/yolov5/pull/8884
* Update CI to default Python 3.10 by glenn-jocher in https://github.com/ultralytics/yolov5/pull/8883
* ClearML experiment tracking integration by thepycoder in https://github.com/ultralytics/yolov5/pull/8620
* `smart_optimizer()` improved reporting by glenn-jocher in https://github.com/ultralytics/yolov5/pull/8887
* emoji-safe default logging by glenn-jocher in https://github.com/ultralytics/yolov5/pull/8888
* Fix/improve social media bar by kalenmike in https://github.com/ultralytics/yolov5/pull/8893
* Update README.md Environments icons by glenn-jocher in https://github.com/ultralytics/yolov5/pull/8895
* Fix anchor incorrectly initialized by YellowAndGreen in https://github.com/ultralytics/yolov5/pull/8891
* Edge TPU add `--search_delegate` fix by glenn-jocher in https://github.com/ultralytics/yolov5/pull/8902
* Capitalize YouTube by glenn-jocher in https://github.com/ultralytics/yolov5/pull/8903
* About "os.R_OK" in general.py by 19190205wzy in https://github.com/ultralytics/yolov5/pull/8909
* Scope `torchvision.utils.draw_bounding_boxes` import by glenn-jocher in https://github.com/ultralytics/yolov5/pull/8915
* Add `torch==1.7.0` to CI tests by glenn-jocher in https://github.com/ultralytics/yolov5/pull/8916
* Direct download table links by glenn-jocher in https://github.com/ultralytics/yolov5/pull/8917
* Fix `--source 'path/*.jpg'` glob example by glenn-jocher in https://github.com/ultralytics/yolov5/pull/8927
* Deci.ai optimization and deployment Integration by glenn-jocher in https://github.com/ultralytics/yolov5/pull/8928
* Allow train to use zipped content by kalenmike in https://github.com/ultralytics/yolov5/pull/8940
* Remove DDP `destroy_process_group()` on train end by glenn-jocher in https://github.com/ultralytics/yolov5/pull/8935
* GFLOPs computation fix for classification models by glenn-jocher in https://github.com/ultralytics/yolov5/pull/8954
* New `smart_inference_mode()` conditional decorator by glenn-jocher in https://github.com/ultralytics/yolov5/pull/8957
* Fix windows LOGGER with emojis output by glenn-jocher in https://github.com/ultralytics/yolov5/pull/8958
* Add bash script arguments by glenn-jocher in https://github.com/ultralytics/yolov5/pull/8962
* Add `.tar` support for datasets by glenn-jocher in https://github.com/ultralytics/yolov5/pull/8963
* Allow multiple-model serving from Flask REST API by mpromonet in https://github.com/ultralytics/yolov5/pull/8973
* Colab and Kaggle loggers removeHandler by glenn-jocher in https://github.com/ultralytics/yolov5/pull/8985
* Fix bug with resume by savchenkoyana in https://github.com/ultralytics/yolov5/pull/8912

</details>

<details>
<summary>😃 New Contributors (41)</summary>

* lcombaldieu made their first contribution in https://github.com/ultralytics/yolov5/pull/6780
* vnekat made their first contribution in https://github.com/ultralytics/yolov5/pull/6865
* DavidBaldsiefen made their first contribution in https://github.com/ultralytics/yolov5/pull/6798
* paradigmn made their first contribution in https://github.com/ultralytics/yolov5/pull/6808
* maxstrobel made their first contribution in https://github.com/ultralytics/yolov5/pull/7010
* LaserBorg made their first contribution in https://github.com/ultralytics/yolov5/pull/7008
* yeshanliu made their first contribution in https://github.com/ultralytics/yolov5/pull/6979
* CCRcmcpe made their first contribution in https://github.com/ultralytics/yolov5/pull/7139
* leeflix made their first contribution in https://github.com/ultralytics/yolov5/pull/7281
* n1mmy made their first contribution in https://github.com/ultralytics/yolov5/pull/7317
* rglkt made their first contribution in https://github.com/ultralytics/yolov5/pull/7342
* vardanagarwal made their first contribution in https://github.com/ultralytics/yolov5/pull/7377
* Cedric-Perauer made their first contribution in https://github.com/ultralytics/yolov5/pull/7446
* HERIUN made their first contribution in https://github.com/ultralytics/yolov5/pull/7478
* jkocherhans made their first contribution in https://github.com/ultralytics/yolov5/pull/7505
* Powercube7 made their first contribution in https://github.com/ultralytics/yolov5/pull/7541
* Jack24658735 made their first contribution in https://github.com/ultralytics/yolov5/pull/7578
* djmmoss made their first contribution in https://github.com/ultralytics/yolov5/pull/7615
* sylvanding made their first contribution in https://github.com/ultralytics/yolov5/pull/7654
* dmatos2012 made their first contribution in https://github.com/ultralytics/yolov5/pull/7669
* GabrielDornelles made their first contribution in https://github.com/ultralytics/yolov5/pull/7843
* JWLee89 made their first contribution in https://github.com/ultralytics/yolov5/pull/7875
* xylieong made their first contribution in https://github.com/ultralytics/yolov5/pull/7891
* lebedevdes made their first contribution in https://github.com/ultralytics/yolov5/pull/6787
* tcmyxc made their first contribution in https://github.com/ultralytics/yolov5/pull/8044
* SahilChachra made their first contribution in https://github.com/ultralytics/yolov5/pull/8046
* HRan2004 made their first contribution in https://github.com/ultralytics/yolov5/pull/8092
* RyanHir made their first contribution in https://github.com/ultralytics/yolov5/pull/8318
* NicholasZolton made their first contribution in https://github.com/ultralytics/yolov5/pull/8330
* giacomoguiduzzi made their first contribution in https://github.com/ultralytics/yolov5/pull/8345
* pourmand1376 made their first contribution in https://github.com/ultralytics/yolov5/pull/8409
* democat3457 made their first contribution in https://github.com/ultralytics/yolov5/pull/8437
* mjun0812 made their first contribution in https://github.com/ultralytics/yolov5/pull/8497
* UnglvKitDe made their first contribution in https://github.com/ultralytics/yolov5/pull/8484
* daquexian made their first contribution in https://github.com/ultralytics/yolov5/pull/8632
* JarnoRFB made their first contribution in https://github.com/ultralytics/yolov5/pull/8664
* jbutle55 made their first contribution in https://github.com/ultralytics/yolov5/pull/8748
* jacksonargo made their first contribution in https://github.com/ultralytics/yolov5/pull/8830
* thepycoder made their first contribution in https://github.com/ultralytics/yolov5/pull/8620
* YellowAndGreen made their first contribution in https://github.com/ultralytics/yolov5/pull/8891
* 19190205wzy made their first contribution in https://github.com/ultralytics/yolov5/pull/8909
* mpromonet made their first contribution in https://github.com/ultralytics/yolov5/pull/8973
* savchenkoyana made their first contribution in https://github.com/ultralytics/yolov5/pull/8912

</details>

bash
git clone https://github.com/ultralytics/yolov5 # clone repo
cd yolov5
git reset --hard 5e970d4 last commit before v2.0


Bug Fixes
- Various

Added Functionality
- Various

<img src="https://user-images.githubusercontent.com/26833433/85340570-30360a80-b49b-11ea-87cf-bdf33d53ae15.png" width="800">
** GPU Speed measures end-to-end time per image averaged over 5000 COCO val2017 images using a V100 GPU with batch size 8, and includes image preprocessing, PyTorch FP16 inference, postprocessing and NMS.
<br/><br/>


- **July 23, 2020**: [v2.0 release](https://github.com/ultralytics/yolov5/releases/tag/v2.0): improved model definition, training and mAP.
- **June 22, 2020**: [PANet](https://arxiv.org/abs/1803.01534) updates: new heads, reduced parameters, improved speed and mAP [364fcfd](https://github.com/ultralytics/yolov5/commit/364fcfd7dba53f46edd4f04c037a039c0a287972).
- **June 19, 2020**: [FP16](https://pytorch.org/docs/stable/nn.html#torch.nn.Module.half) as new default for smaller checkpoints and faster inference [d4c6674](https://github.com/ultralytics/yolov5/commit/d4c6674c98e19df4c40e33a777610a18d1961145).
- **June 9, 2020**: [CSP](https://github.com/WongKinYiu/CrossStagePartialNetworks) updates: improved speed, size, and accuracy (credit to WongKinYiu for CSP).
- **May 27, 2020**: Public release. YOLOv5 models are SOTA among all known YOLO implementations.
- **April 1, 2020**: Start development of future compound-scaled [YOLOv3](https://github.com/ultralytics/yolov3)/[YOLOv4](https://github.com/AlexeyAB/darknet)-based PyTorch models.


Pretrained Checkpoints

| Model | AP^val | AP^test | AP₅₀ | Speed_GPU | FPS_GPU || params | FLOPS |
|---------- |------ |------ |------ | -------- | ------| ------ |------ | :------: |

YOLOv5 1.0 Release Notes

- **June 22, 2020**: [PANet](https://arxiv.org/abs/1803.01534) updates: increased layers, reduced parameters, faster inference and improved mAP [364fcfd](https://github.com/ultralytics/yolov5/commit/364fcfd7dba53f46edd4f04c037a039c0a287972).
- **June 19, 2020**: [FP16](https://pytorch.org/docs/stable/nn.html#torch.nn.Module.half) as new default for smaller checkpoints and faster inference [d4c6674](https://github.com/ultralytics/yolov5/commit/d4c6674c98e19df4c40e33a777610a18d1961145).
- **June 9, 2020**: [CSP](https://github.com/WongKinYiu/CrossStagePartialNetworks) updates: improved speed, size, and accuracy. Credit to WongKinYiu for excellent CSP work.
- **May 27, 2020**: Public release of repo. YOLOv5 models are SOTA among all known YOLO implementations.
- **April 1, 2020**: Start development of future [YOLOv3](https://github.com/ultralytics/yolov3)/[YOLOv4](https://github.com/AlexeyAB/darknet)-based PyTorch models in a range of compound-scaled sizes.

<img src="https://user-images.githubusercontent.com/26833433/85340570-30360a80-b49b-11ea-87cf-bdf33d53ae15.png" width="800">
** GPU Speed measures end-to-end time per image averaged over 5000 COCO val2017 images using a V100 GPU with batch size 8, and includes image preprocessing, PyTorch FP16 inference, postprocessing and NMS.

Pretrained Checkpoints

| Model | AP^val | AP^test | AP₅₀ | Speed_GPU | FPS_GPU || params | FLOPS |
|---------- |------ |------ |------ | -------- | ------| ------ |------ | :------: |