cnn-raccoon
PixelLib
cnn-raccoon | PixelLib | |
---|---|---|
3 | 3 | |
31 | 1,014 | |
- | - | |
0.0 | 0.0 | |
over 3 years ago | 7 months ago | |
Python | Python | |
Apache License 2.0 | MIT License |
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cnn-raccoon
PixelLib
- YOLOv6: Redefine state-of-the-art for object detection
-
To separate objects detected from a video using PixelLib
This is the code, found from the reference here.
- New Project In Computer Vision For Beginner
What are some alternatives?
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Human-Segmentation-PyTorch - Human segmentation models, training/inference code, and trained weights, implemented in PyTorch
einops - Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)
sahi - Framework agnostic sliced/tiled inference + interactive ui + error analysis plots
FasterRCNN - Clean and readable implementations of Faster R-CNN in PyTorch and TensorFlow 2 with Keras.
rembg-greenscreen - Rembg Video Virtual Green Screen Edition
mask-rcnn - Mask-RCNN training and prediction in MATLAB for Instance Segmentation
fashion-segmentation - A tensorflow model for segmentation of fashion items out of multiple product images
PaddleSeg - Easy-to-use image segmentation library with awesome pre-trained model zoo, supporting wide-range of practical tasks in Semantic Segmentation, Interactive Segmentation, Panoptic Segmentation, Image Matting, 3D Segmentation, etc.
YOLOv6 - YOLOv6: a single-stage object detection framework dedicated to industrial applications.
edgetpu - Coral issue tracker (and legacy Edge TPU API source)
yolact - A simple, fully convolutional model for real-time instance segmentation.