detectron2
rembg
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detectron2 | rembg | |
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49 | 52 | |
28,671 | 14,437 | |
1.9% | - | |
7.5 | 8.2 | |
8 days ago | 22 days ago | |
Python | Python | |
Apache License 2.0 | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
detectron2
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Ask HN: How to train an image recognition AI
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
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Instance segmentation of small objects in grainy drone imagery
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
- Openpose alternatives (humanSD & Densepose)
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Probelms with importing tensormask from detectron2.projects
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
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Problems with Lazy Config detectron2 (MViTv2)
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.
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"[D]" Problems with Lazy Config detectron2 (MViTv2)
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.
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AI Real Time (lgd for cn)
Which is built on https://github.com/facebookresearch/detectron2
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List of AI-Models
Click to Learn more...
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good computer vision or deep learning projects in github
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.
- Object Detection using PyTorch: Would you recommend a Framework (Detectron2, MMDetection, ...) or a project from scratch ?
rembg
- Rembg: Tool to Remove Images Background
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🚀 Background Removal in Python with PyTorch and Rembg! 🎨🐍
A bit conflicted as the linked video is also linked from the actual rembg repo but it seems way faster and more detailed to just read the readme at that repo first, and maybe use a video if something doesn’t make sense.
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Ask HN: How does MS-Teams, Meets and Zoom virtual background works?
There are open source tools like rembg (https://github.com/danielgatis/rembg) which call into pre-trained models.
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Lora Training - how to not train background?
You can use Rembg extension to remove background automatically: https://github.com/danielgatis/rembg
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[Question] where to deploy remove background using u2net ml app ? (ec2, lambda or else?)
Hi guys 📷 I am new to ml deployment. Can anyone help about production deployment ? I made fastapi docker app which removes background from image (https://github.com/danielgatis/rembg). It uses u2net segmentation. I tried aws ec2, lambda, googld cloudrun and so far ec2(t2-large) is the fastest but still too slow. Also, it costs way more than I expected. Are there any other solution that I can deploy ml app with as low as possible? Where do you guys mostly deploy ml app?
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lineart_coarse + openpose, batch img2img
I am currently using rembg https://github.com/danielgatis/rembg
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Newgen / regen face revamp project (AI powered) - once and for all!
rembg
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The new Controlnet lineart is great for sprite sheets/2D animations when combined with Canny. The top left was input and the other three were just Controlnet with no inpainting or upscaling.
A python script with rembg could work
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Useful utilities that will help when trying to make stuff
4.) rembg -- backgrounds be gone. If there isn't an extension in Automatic1111 for this yet, there should be (I haven't checked recently). Same deal as midas, you can point it at a folder and zap the backgrounds off of all your images. Useful in combo with midas and imagemagick if, for instance, you want images of an object on a white background (Stable Diffusion training via LoRAs/Dreambooth may not benefit, but other things like GANs prefer that sort of training image). Useful if you want to "compose" a scene and you have images of dispirate objects/people you want in that scene.
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Just a reminder that there is a new 'remove background' extension for a1111
Ran into another issue with " LoadLibrary failed with error 126 Here's the solution: https://github.com/danielgatis/rembg/issues/312
What are some alternatives?
mmdetection - OpenMMLab Detection Toolbox and Benchmark
gmic - GREYC's Magic for Image Computing: A Full-Featured Open-Source Framework for Image Processing
yolov5 - YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite
ai-background-remove - Cut out objects and remove backgrounds from pictures with artificial intelligence
openpose - OpenPose: Real-time multi-person keypoint detection library for body, face, hands, and foot estimation
resynthesizer - Suite of gimp plugins for texture synthesis
U-2-Net - The code for our newly accepted paper in Pattern Recognition 2020: "U^2-Net: Going Deeper with Nested U-Structure for Salient Object Detection."
stable-diffusion-webui-rembg - Removes backgrounds from pictures. Extension for webui.
pytorch-lightning - Build high-performance AI models with PyTorch Lightning (organized PyTorch). Deploy models with Lightning Apps (organized Python to build end-to-end ML systems). [Moved to: https://github.com/Lightning-AI/lightning]
Pixelitor - A desktop image editor
deep-text-recognition-benchmark - Text recognition (optical character recognition) with deep learning methods, ICCV 2019
public-apis - A collective list of free APIs