roop VS detectron2

Even when faces (asian skin color) in both source and targe images are saturated and colorful, roop generate quite pale faces. I just ran it with the suggested params, and wonder if I miss anything?

I tend to somewhat agree. This [0] repository was posted here last week and really made me think about much of what you are discussing here.

[0] https://github.com/s0md3v/roop

I don't quite understand this post:"https://github.com/s0md3v/roop/issues/122"

You have a separate program for this https://github.com/s0md3v/roop

no idea. I reinstalled it https://github.com/s0md3v/roop/wiki/1.-Installation and still no live button

Roop, respectively its uncensored fork.

9) in Windows Explorer, create folder, right click folder > Git Bash Here, type: git clone https://github.com/s0md3v/roop.git, enter

I don’t do AI professionally but as a hobby, so this may not be the best way. But the way you described, it seems the user maybe taking the picture a bit further away and there may be other objects in the frame. So you may want to look into some sort of segmentation or have bounding box. This could help the user make sure they are looking at documents for the correct machine.

I think something like detectron2 [1] could help. It is Apache2 license, so commercial friendly. That said the pre-trained weights may not be used for commercial purposes, so you’ll want to check on that.

[1] https://github.com/facebookresearch/detectron2

And not enough true positives either. Add more augmentations in the config. Also make sure the config is set correctly, so that Detectron2 isn't skipping background images: https://github.com/facebookresearch/detectron2/issues/80

I followed the setup of https://github.com/facebookresearch/detectron2/tree/main/projects/TensorMask. But still I can not import it. As I can with from detectron2.projects import point_rend easily from PointRend projects

I have to use this config file with the dataloader which is in https://github.com/facebookresearch/detectron2/blob/main/projects/MViTv2/configs/common/coco_loader.py. I figured that i can use cfg.dataloader.train.dataset.names = "my_dataset_train" for this.

I want to use this config file https://github.com/facebookresearch/detectron2/blob/main/projects/MViTv2/configs/mask_rcnn_mvitv2_t_3x.py like the beneath typical way I use a yaml config file. But giving so many errors one after another that, I even failed to count at this point.

Which is built on https://github.com/facebookresearch/detectron2

Click to Learn more...

Detectron2 (GitHub: https://github.com/facebookresearch/detectron2) is a Facebook AI Research library with state-of-the-art object detection and segmentation algorithms in PyTorch.