Glenn Jocher
c3a93d783d
* Initial commit * Remove unused export_torchscript return * ROOT variable * Add prefix to fcn arg * fix ROOT * check_yaml into run() * interim fixes * imgsz=(320, 320) * Hardcode tf_raw_resize False * Finish opt elimination * Update representative_dataset_gen() * Update export.py with TF methods * SiLU and GraphDef fixes * file_size() directory handling feature * export fixes * add lambda: to representative_dataset * Detect training False default * Fuse false for TF models * Embed agnostic NMS arguments * Remove lambda * TensorFlow.js export success * Add pb to Usage * Add *_tfjs_model/ to ignore files * prepend YOLOv5 to function headers * Remove end --- comments * parameterize tfjs export pb file * update run() data default /ROOT * update --include help * update imports * return ct_model * Consolidate TFLite export * pb prerequisite to tfjs * TF modules CamelCase * Remove exports from tf.py and cleanup * pass agnostic NMS arguments * CI * CI * ignore *_web_model/ * Add tensorflow to CI dependencies * CI tensorflow-cpu * Update requirements.txt * Remove tensorflow check_requirement * CI coreml tfjs * export only onnx torchscript * reorder exports torchscript first
35 lines
857 B
Plaintext
Executable File
35 lines
857 B
Plaintext
Executable File
# pip install -r requirements.txt
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# Base ----------------------------------------
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matplotlib>=3.2.2
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numpy>=1.18.5
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opencv-python>=4.1.2
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Pillow>=8.0.0
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PyYAML>=5.3.1
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scipy>=1.4.1
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torch>=1.7.0
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torchvision>=0.8.1
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tqdm>=4.41.0
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# Logging -------------------------------------
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tensorboard>=2.4.1
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# wandb
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# Plotting ------------------------------------
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seaborn>=0.11.0
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pandas
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# Export --------------------------------------
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# coremltools>=4.1 # CoreML export
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# onnx>=1.9.0 # ONNX export
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# onnx-simplifier>=0.3.6 # ONNX simplifier
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# scikit-learn==0.19.2 # CoreML quantization
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# tensorflow>=2.4.1 # TFLite export
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# tensorflowjs>=3.9.0 # TF.js export
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# Extras --------------------------------------
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# Cython # for pycocotools https://github.com/cocodataset/cocoapi/issues/172
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# pycocotools>=2.0 # COCO mAP
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# albumentations>=1.0.3
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thop # FLOPs computation
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