Wawan Firgiawan
Wawan Firgiawan
I want to create a detection object to update the inference.py program, I want to run it through Pycharm software using the flask library to load the display for uploading...
**I will testing model using fasterrcnn_resnet50_fpn_2 and I found an error in my program like the following:** Building from model name arguments... Downloading: "https://download.pytorch.org/models/fasterrcnn_resnet50_fpn_coco-258fb6c6.pth" to /root/.cache/torch/hub/checkpoints/fasterrcnn_resnet50_fpn_coco-258fb6c6.pth 100% 160M/160M [00:03
usage: train.py [-h] [-m MODEL] [--data DATA] [-d DEVICE] [-e EPOCHS] [-j WORKERS] [-b BATCH] [--lr LR] [-ims IMGSZ] [-n NAME] [-vt] [-nm] [-uta] [-ca] [-w WEIGHTS] [-r] [-st] [--world-size...
Please explain the attributes of the dataset used in this project.  What parameters are used?
**I want to run my training process with the command:** !python train.py --data data_configs/data_training.yaml --epochs 40 --model fasterrcnn_mobilenetv3_large_fpn --project-dir fasterrcnn_mobilenetv3_large_fpn --seed 8 **and I get an error in my program...
Please, help to build interface using using Flask library