fix: utils/google_app_engine/additional_requirements.txt to reduce vulnerabilities
The following vulnerabilities are fixed by pinning transitive dependencies:
- https://snyk.io/vuln/SNYK-PYTHON-ZIPP-7430899
Co-authored-by: snyk-bot <snyk-bot@snyk.io>
* Add license line to .github/ISSUE_TEMPLATE/bug-report.yml
* Add license line to .github/ISSUE_TEMPLATE/config.yml
* Add license line to .github/ISSUE_TEMPLATE/feature-request.yml
* Add license line to .github/ISSUE_TEMPLATE/question.yml
* Add license line to .github/dependabot.yml
* Add license line to .github/workflows/ci-testing.yml
* Add license line to .github/workflows/cla.yml
* Add license line to .github/workflows/codeql-analysis.yml
* Add license line to .github/workflows/docker.yml
* Add license line to .github/workflows/format.yml
* Add license line to .github/workflows/greetings.yml
* Add license line to .github/workflows/links.yml
* Add license line to .github/workflows/merge-main-into-prs.yml
* Add license line to .github/workflows/stale.yml
* Add license line to benchmarks.py
* Add license line to classify/predict.py
* Add license line to classify/train.py
* Add license line to classify/val.py
* Add license line to data/Argoverse.yaml
* Add license line to data/GlobalWheat2020.yaml
* Add license line to data/ImageNet.yaml
* Add license line to data/ImageNet10.yaml
* Add license line to data/ImageNet100.yaml
* Add license line to data/ImageNet1000.yaml
* Add license line to data/Objects365.yaml
* Add license line to data/SKU-110K.yaml
* Add license line to data/VOC.yaml
* Add license line to data/VisDrone.yaml
* Add license line to data/coco.yaml
* Add license line to data/coco128-seg.yaml
* Add license line to data/coco128.yaml
* Add license line to data/hyps/hyp.Objects365.yaml
* Add license line to data/hyps/hyp.VOC.yaml
* Add license line to data/hyps/hyp.no-augmentation.yaml
* Add license line to data/hyps/hyp.scratch-high.yaml
* Add license line to data/hyps/hyp.scratch-low.yaml
* Add license line to data/hyps/hyp.scratch-med.yaml
* Add license line to data/xView.yaml
* Add license line to detect.py
* Add license line to export.py
* Add license line to hubconf.py
* Add license line to models/common.py
* Add license line to models/experimental.py
* Add license line to models/hub/anchors.yaml
* Add license line to models/hub/yolov3-spp.yaml
* Add license line to models/hub/yolov3-tiny.yaml
* Add license line to models/hub/yolov3.yaml
* Add license line to models/hub/yolov5-bifpn.yaml
* Add license line to models/hub/yolov5-fpn.yaml
* Add license line to models/hub/yolov5-p2.yaml
* Add license line to models/hub/yolov5-p34.yaml
* Add license line to models/hub/yolov5-p6.yaml
* Add license line to models/hub/yolov5-p7.yaml
* Add license line to models/hub/yolov5-panet.yaml
* Add license line to models/hub/yolov5l6.yaml
* Add license line to models/hub/yolov5m6.yaml
* Add license line to models/hub/yolov5n6.yaml
* Add license line to models/hub/yolov5s-LeakyReLU.yaml
* Add license line to models/hub/yolov5s-ghost.yaml
* Add license line to models/hub/yolov5s-transformer.yaml
* Add license line to models/hub/yolov5s6.yaml
* Add license line to models/hub/yolov5x6.yaml
* Add license line to models/segment/yolov5l-seg.yaml
* Add license line to models/segment/yolov5m-seg.yaml
* Add license line to models/segment/yolov5n-seg.yaml
* Add license line to models/segment/yolov5s-seg.yaml
* Add license line to models/segment/yolov5x-seg.yaml
* Add license line to models/tf.py
* Add license line to models/yolo.py
* Add license line to models/yolov5l.yaml
* Add license line to models/yolov5m.yaml
* Add license line to models/yolov5n.yaml
* Add license line to models/yolov5s.yaml
* Add license line to models/yolov5x.yaml
* Add license line to pyproject.toml
* Add license line to segment/predict.py
* Add license line to segment/train.py
* Add license line to segment/val.py
* Add license line to train.py
* Add license line to utils/__init__.py
* Add license line to utils/activations.py
* Add license line to utils/augmentations.py
* Add license line to utils/autoanchor.py
* Add license line to utils/autobatch.py
* Add license line to utils/aws/resume.py
* Add license line to utils/callbacks.py
* Add license line to utils/dataloaders.py
* Add license line to utils/downloads.py
* Add license line to utils/flask_rest_api/example_request.py
* Add license line to utils/flask_rest_api/restapi.py
* Add license line to utils/general.py
* Add license line to utils/google_app_engine/app.yaml
* Add license line to utils/loggers/__init__.py
* Add license line to utils/loggers/clearml/clearml_utils.py
* Add license line to utils/loggers/clearml/hpo.py
* Add license line to utils/loggers/comet/__init__.py
* Add license line to utils/loggers/comet/comet_utils.py
* Add license line to utils/loggers/comet/hpo.py
* Add license line to utils/loggers/wandb/wandb_utils.py
* Add license line to utils/loss.py
* Add license line to utils/metrics.py
* Add license line to utils/plots.py
* Add license line to utils/segment/augmentations.py
* Add license line to utils/segment/dataloaders.py
* Add license line to utils/segment/general.py
* Add license line to utils/segment/loss.py
* Add license line to utils/segment/metrics.py
* Add license line to utils/segment/plots.py
* Add license line to utils/torch_utils.py
* Add license line to utils/triton.py
* Add license line to val.py
* Auto-format by https://ultralytics.com/actions
* Update ImageNet1000.yaml
Signed-off-by: Glenn Jocher <glenn.jocher@ultralytics.com>
* Auto-format by https://ultralytics.com/actions
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Signed-off-by: Glenn Jocher <glenn.jocher@ultralytics.com>
Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com>
* Update dataloaders.py
This is to address (and hopefully fix) this issue: Multi-GPU DDP RAM multiple-cache bug #3818 (https://github.com/ultralytics/yolov5/issues/3818). This was a very serious and "blocking" issue until I could figure out what was going on. The problem was especially bad when running Multi-GPU jobs with 8 GPUs, RAM usage was 8x higher than expected (!), causing repeated OOM failures. Hopefully this fix will help others.
DDP causes each RANK to launch it's own process (one for each GPU) with it's own trainloader, and its own RAM image cache. The DistributedSampler used by DDP (https://github.com/pytorch/pytorch/blob/master/torch/utils/data/distributed.py) will feed only a subset of images (1/WORLD_SIZE) to each available GPU on each epoch, but since the images are shuffled between epochs, each GPU process must still cache all images. So I created a subclass of DistributedSampler called SmartDistributedSampler that forces each GPU process to always sample the same subset (using modulo arithmetic with RANK and WORLD_SIZE) while still allowing random shuffling between epochs. I don't believe this disrupts the overall "randomness" of the sampling, and I haven't noticed any performance degradation.
Signed-off-by: davidsvaughn <davidsvaughn@gmail.com>
* [pre-commit.ci] auto fixes from pre-commit.com hooks
for more information, see https://pre-commit.ci
* Update dataloaders.py
move extra parameter (rank) to end so won't mess up pre-existing positional args
* Update dataloaders.py
removing extra '#'
* Update dataloaders.py
sample from DDP index array (self.idx) in mixup mosaic
* Merging self.indices and self.idx (DDP indices) into single attribute (self.indices).
Also adding SmartDistributedSampler to segmentation dataloader
* [pre-commit.ci] auto fixes from pre-commit.com hooks
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* Multiply GB displayed by WORLD_SIZE
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Signed-off-by: davidsvaughn <davidsvaughn@gmail.com>
Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com>
* Added ClearML instance segmentation and classification support
* Cleaned up ClearML plot output
* typos
* Log results as plots instead of debug samples
* [pre-commit.ci] auto fixes from pre-commit.com hooks
for more information, see https://pre-commit.ci
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Signed-off-by: Glenn Jocher <glenn.jocher@ultralytics.com>
Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com>
* Update selectable device Profile
* [pre-commit.ci] auto fixes from pre-commit.com hooks
for more information, see https://pre-commit.ci
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Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
* Fix bug in #12457.
When run 'python.exe segment/predict.py --visualize' will throw AttributeError: 'tuple' object has no attribute 'shape'
* [pre-commit.ci] auto fixes from pre-commit.com hooks
for more information, see https://pre-commit.ci
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Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com>
* Add ndjson logging for training
This adds support for NDJSON (newline-delimited JSON) metrics logging,
for both console (stdout) output and a file (like the current CSV file).
NDJSON can be easily grepped from the output and/or parsed with e.g. `jq`.
The feature is enabled with the `--ndjson-console` and `--ndjson-file`
switches to `train.py`.
* [pre-commit.ci] auto fixes from pre-commit.com hooks
for more information, see https://pre-commit.ci
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Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
* Import Annotator class from `ultralytics` package
* [pre-commit.ci] auto fixes from pre-commit.com hooks
for more information, see https://pre-commit.ci
* Import Annotator class from `ultralytics` package
* Update requirements.txt
Signed-off-by: Glenn Jocher <glenn.jocher@ultralytics.com>
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Signed-off-by: Glenn Jocher <glenn.jocher@ultralytics.com>
Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
* update colab link
* fix path check for datasets
* apply yapf
* run precommit hooks
* [pre-commit.ci] auto fixes from pre-commit.com hooks
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