car-detection-bayes/requirements.txt

# pip install -U -r requirements.txt
# pycocotools requires numpy 1.17 https://github.com/cocodataset/cocoapi/issues/356
numpy == 1.17
opencv-python >= 4.1
torch >= 1.5
matplotlib
pycocotools
tqdm
pillow
tensorboard >= 1.14

# Nvidia Apex (optional) for mixed precision training --------------------------
# git clone https://github.com/NVIDIA/apex && cd apex && pip install -v --no-cache-dir --global-option="--cpp_ext" --global-option="--cuda_ext" . --user && cd .. && rm -rf apex

# Conda commands (in place of pip) ---------------------------------------------
# conda update -yn base -c defaults conda
# conda install -yc anaconda numpy opencv matplotlib tqdm pillow ipython
# conda install -yc conda-forge scikit-image pycocotools tensorboard
# conda install -yc spyder-ide spyder-line-profiler
# conda install -yc pytorch pytorch torchvision
# conda install -yc conda-forge protobuf numpy && pip install onnx  # https://github.com/onnx/onnx#linux-and-macos
updates 2019-12-03 00:46:15 +00:00			`# pip install -U -r requirements.txt`
pycocotools and numpy 1.17 fix for #1182 2020-05-16 03:50:58 +00:00			`# pycocotools requires numpy 1.17 https://github.com/cocodataset/cocoapi/issues/356`
			`numpy == 1.17`
updates 2020-01-16 17:47:33 +00:00			`opencv-python >= 4.1`
torch >= 1.5 2020-04-23 00:54:56 +00:00			`torch >= 1.5`
Initial commit 2018-08-26 08:51:39 +00:00			`matplotlib`
Add collate_fn() to DataLoader (#163) Multi-GPU update with custom collate function to allow variable size target vector per image without needing to pad targets. 2019-03-25 13:59:38 +00:00			`pycocotools`
			`tqdm`
updates 2020-01-23 20:24:52 +00:00			`pillow`
add tensorboard to requirements (#1100) In a clean environment running training fails if tensorboard is not installed e.g. ``` Traceback (most recent call last): File "/home/josh/miniconda3/envs/ultralytics/lib/python3.7/site-packages/torch/utils/tensorboard/__init__.py", line 2, in <module> from tensorboard.summary.writer.record_writer import RecordWriter # noqa F401 ModuleNotFoundError: No module named 'tensorboard' During handling of the above exception, another exception occurred: Traceback (most recent call last): File "train.py", line 6, in <module> from torch.utils.tensorboard import SummaryWriter File "/home/josh/miniconda3/envs/ultralytics/lib/python3.7/site-packages/torch/utils/tensorboard/__init__.py", line 4, in <module> raise ImportError('TensorBoard logging requires TensorBoard with Python summary writer installed. ' ImportError: TensorBoard logging requires TensorBoard with Python summary writer installed. This should be available in 1.14 or above. ``` 2020-04-27 16:21:34 +00:00			`tensorboard >= 1.14`
updates 2019-08-14 13:54:40 +00:00
updates 2019-12-14 22:49:18 +00:00			`# Nvidia Apex (optional) for mixed precision training --------------------------`
			`# git clone https://github.com/NVIDIA/apex && cd apex && pip install -v --no-cache-dir --global-option="--cpp_ext" --global-option="--cuda_ext" . --user && cd .. && rm -rf apex`

			`# Conda commands (in place of pip) ---------------------------------------------`
updates 2019-12-22 16:12:23 +00:00			`# conda update -yn base -c defaults conda`
remove future 2020-04-26 21:09:12 +00:00			`# conda install -yc anaconda numpy opencv matplotlib tqdm pillow ipython`
updates 2020-01-18 19:52:26 +00:00			`# conda install -yc conda-forge scikit-image pycocotools tensorboard`
updates Signed-off-by: Glenn Jocher <glenn.jocher@ultralytics.com> 2019-09-04 08:05:42 +00:00			`# conda install -yc spyder-ide spyder-line-profiler`
			`# conda install -yc pytorch pytorch torchvision`
updates 2020-01-18 19:52:26 +00:00			`# conda install -yc conda-forge protobuf numpy && pip install onnx # https://github.com/onnx/onnx#linux-and-macos`