test setup

yolov7-setup/instructions.md

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+https://github.com/JackWoo0831/Yolov7-tracker
+https://github.com/microsoft/VoTT?tab=readme-ov-file#build-and-run-from-source
+
+# Yolov7-tracker
+git clone https://github.com/JackWoo0831/Yolov7-tracker.git
+mv Yolov7-tracker yolov7-tracker
+cd yolov7-tracker
+git checkout v2  # change to v2 branch !!
+
+# Python：3.9, Pytorch: 1.12
+conda create -n yolov7 python=3.9 pytorch=1.12
+conda activate yolov7
+pip3 install numpy scipy matplotlib cython pandas cuda-python
+## ERROR: Could not find a version that satisfies the requirement cuda-python (from versions: none) Requires-Python >=3.10
+pip3 install -r requirements.txt
+pip3 install ultralytics==8.0.94
+
+# Setup cluster
+nvidia-smi 
+=> cuda 11.4 sur node20
+
+cf notes d'installation de pytorch pour trouver les bonnes versions : https://pytorch.org/get-started/previous-versions/
+pip3 install torch==2.2.2 torchvision==0.17.2 torchaudio==2.2.2 --index-url https://download.pytorch.org/whl/cu118
+pip3 install filterpy
+
+>>> import torch
+>>> torch.cuda.is_available()
+True
+
+# Setup macos
+conda install pytorch==2.3.0 torchvision==0.18.0 torchaudio==2.3.0 -c pytorch
+
+# Config train
+- create config tracker/config_files/dataset1_2024_06_19.yaml
+data/files_dataset1_2024_06_19.yaml 
+
+- export from VoTT as json 
+- convert to Yolov using vott2yolov.py (data/dataset1_2024_06_19/vott2yolov.py) -> data/dataset1_2024_06_19/labels/dataset1/ + data/dataset1_2024_06_19/images/dataset1/
+- edit data/dataset1_2024_06_19/dataset.yaml
+- get box sizes from data/dataset1_2024_06_19/YOLOV_BDD_Anchors_1280.txt -> cfg/training/yolov7x_dataset1_2024_06_19.yaml
+
+structure :
+dataset_name
+    |---images
+        |---train
+                |---sequence_name1
+                        |---000001.jpg
+                        |---000002.jpg ...
+        |---val ...
+        |---test ...
+
+    |
+
+# Launch train
+python3 train.py --dataset dataset1_2024_06_19__ --workers 1  --device 0 --batch-size 4 --data data/dataset1_2024_06_19/datasetyaml  --img 1280 720 --cfg cfg/training/yolov7x_dataset1_2024_06_19.yaml  --weights ''  --name yolov7x-dataset1_2024_06_19  --hyp data/hyp.scratch.custom.yaml
+
+Si erreur : _pickle.UnpicklingError: STACK_GLOBAL requires str
+Effacer les fichiers .cache : liste_images.cache par exemple...
+
+Si erreur np.int => remplacer par des np.int64
+
+Si erreur cuda/cpu dans loss.py :
+you have to replace the line in the file yolo7/utils/loss.py
+"from_which_layer.append((torch.ones(size=(len(b),)) * i)"
+to "from_which_layer.append((torch.ones(size=(len(b),)) * i).to('cuda'))",
+and add new line "fg_mask_inboxes = fg_mask_inboxes.to(torch.device('cuda'))"
+after "fg_mask_inboxes = matching_matrix.sum(0) > 0.0"
+so you need to do it 3 times in the file
+
+<!-- https://wandb.ai/noham- -->
+
+<!-- /Users/noham/Documents/GitHub/Stage/2024 -->
+<!-- /Users/noham/Documents/GitHub/Stage-2024 -->