YOLOv5 v5.0 release compatibility update for YOLOv3 (#1737)
* YOLOv5 v5.0 release compatibility update * Update README * Update README * Conv act LeakyReLU(0.1) * update plots_study() * update speeds
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@@ -1,14 +1,14 @@
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# Start FROM Nvidia PyTorch image https://ngc.nvidia.com/catalog/containers/nvidia:pytorch
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FROM nvcr.io/nvidia/pytorch:20.12-py3
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FROM nvcr.io/nvidia/pytorch:21.03-py3
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# Install linux packages
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RUN apt update && apt install -y screen libgl1-mesa-glx
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RUN apt update && apt install -y zip htop screen libgl1-mesa-glx
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# Install python dependencies
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RUN pip install --upgrade pip
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COPY requirements.txt .
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RUN pip install -r requirements.txt
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RUN pip install gsutil
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RUN python -m pip install --upgrade pip
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RUN pip uninstall -y nvidia-tensorboard nvidia-tensorboard-plugin-dlprof
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RUN pip install --no-cache -r requirements.txt coremltools onnx gsutil notebook
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# Create working directory
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RUN mkdir -p /usr/src/app
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@@ -17,6 +17,9 @@ WORKDIR /usr/src/app
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# Copy contents
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COPY . /usr/src/app
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# Set environment variables
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ENV HOME=/usr/src/app
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# --------------------------------------------------- Extras Below ---------------------------------------------------
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@@ -34,13 +37,13 @@ COPY . /usr/src/app
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# sudo docker kill $(sudo docker ps -q)
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# Kill all image-based
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# sudo docker kill $(sudo docker ps -a -q --filter ancestor=ultralytics/yolov3:latest)
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# sudo docker kill $(sudo docker ps -qa --filter ancestor=ultralytics/yolov5:latest)
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# Bash into running container
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# sudo docker container exec -it ba65811811ab bash
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# sudo docker exec -it 5a9b5863d93d bash
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# Bash into stopped container
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# sudo docker commit 092b16b25c5b usr/resume && sudo docker run -it --gpus all --ipc=host -v "$(pwd)"/coco:/usr/src/coco --entrypoint=sh usr/resume
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# id=$(sudo docker ps -qa) && sudo docker start $id && sudo docker exec -it $id bash
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# Send weights to GCP
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# python -c "from utils.general import *; strip_optimizer('runs/train/exp0_*/weights/best.pt', 'tmp.pt')" && gsutil cp tmp.pt gs://*.pt
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