Almost Unusable Faster R-CNN Pre-training

[afiff2]

I have encountered several issues while attempting to use Faster R-CNN pre-training. The problems include, but are not limited to, the following:

Configuration File Adjustments: In the config file, the setting INPUT: MIN_SIZE_TRAIN:(600,) should be modified to MIN_SIZE_TRAIN: 600. In the MODEL: BACKBONE: section, CONV_BODY: "R-101-FPN" should be changed to TYPE: "R-101-FPN".

Modifications in detector_pretrain_net.py:

The following code block: if args.use_wandb: run_name = cfg.OUTPUT_DIR.split('/')[-1] if args.distributed: wandb.init(project="scene-graph-benchmark", entity="maelic", group="DDP", name=run_name, config=cfg) wandb.init(project="scene-graph-benchmark", entity="maelic", name=run_name, config=cfg) use_wandb = True should be updated to include: else: use_wandb = False

Changes in paths_catalog.py: Comment out: for k, v in args.items(): args[k] = os.path.join(data_dir, v)

Due to a lack of code management, I am uncertain whether these are all the modifications I made, and whether the training process will function correctly after these changes.

[Maelic]

Hello, you can use this config file if you want to train a faster-rcnn for the VG150 dataset.

By the way, please be kind when posting issues on Github, I am working on this codebase alone in my free time and I am providing it entirely for free for the community. I also mentioned in the readme that this codebase is highly experimental. Right now I don't have a lot of time to maintain it properly, however Github is also a place where people can contribute, so if you find mistakes you can create a pull request and I would be happy to merge it.

[afiff2]

I am not a native English speaker. I sincerely apologize if my previous message came across as unkind. I truly appreciate the hard work you have put on SGG..

[Maelic]

Yes the last part came out a bit rude to be honest ah ah But it's ok we're cool now :)