sudecki30

**1)** _Begin training! Traceback (most recent call last): File "C:\Users\Guillaume\Documents\Python\AutonomousCar\code\yolact-master\train.py", line 504, in train() File "C:\Users\Guillaume\Documents\Python\AutonomousCar\code\yolact-master\train.py", line 270, in train for datum in data_loader: File "C:\Users\Guillaume\miniconda3\envs\ia\lib\site-packages\torch\utils\data\dataloader.py", line 359, in __iter__...

**2)** _ (ia) C:\Users\Guillaume\Documents\Python\AutonomousCar\code\yolact-master>python train.py --config=yolact_base_config --dataset=my_custom_dataset --batch_size=2 --cuda 1 Scaling parameters by 0.25 to account for a batch size of 2. Per-GPU batch size is less than the recommended...

I have tried with COCO dataset, same errors

I have pass the error with `conda install pytorch torchvision torchaudio cudatoolkit=11.1 -c pytorch-lts -c conda-forge` (install the LTS 1.8 version not the 1.9) But i have a lot of...

> You can get this effect by using the lower_leq manual setting. To lower any cells less or equal 0 by 2 mm use: "lower_leq":[0, 2] Here's a longer explanation...