Mask-RCNN-Implementation
TACO
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| Mask-RCNN-Implementation | TACO | |
|---|---|---|
| 1 | 3 | |
| 3 | 540 | |
| - | - | |
| 3.2 | 0.0 | |
| about 3 years ago | about 1 year ago | |
| Jupyter Notebook | Jupyter Notebook | |
| MIT License | MIT License |
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Mask-RCNN-Implementation
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Mask RCNN Implementation for Image Segmentation | Tutorial
1.Git clone the Mask-RCNN-Implementation 2.Install the Mask_Rcnn module.
TACO
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Does a high tech Trash can 🗑 that sorts out plastic and trash out by scanning exist?
http://tacodataset.org/ <- Open source dataset if you want to train a classifier, I like this one
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Advice on Masters project | Vision transformers
Hi, So my project is to do with object detection on trash in the wild on this fairly obscure dataset: http://tacodataset.org/ and I was thinking of applying vision transformers to it for feature extraction. I was thinking of taking the YOLOX implementation and swapping out the backbone with swin transformers and perform bunch of comparisons/experiments for the write up. Sort of like how they applied swin transformers to mask R-CNN here but I am struggling to understand where to begin.
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How to convert Polygons to Bounding Boxes?
I was wondering if anyone had a script or could point me to one that would be able to convert polygons from image segmentation to bounding boxes for object detection. I am looking to create a trash detector to run on my trash picking up robot. I found the TACO dataset, but it uses segmentation and I just want to start with bounding boxes. Any help would be appreciated.
What are some alternatives?
labelme - Image Polygonal Annotation with Python (polygon, rectangle, circle, line, point and image-level flag annotation).
YOLOX - YOLOX is a high-performance anchor-free YOLO, exceeding yolov3~v5 with MegEngine, ONNX, TensorRT, ncnn, and OpenVINO supported. Documentation: https://yolox.readthedocs.io/
Mask_RCNN - Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
yolov3-tf2 - YoloV3 Implemented in Tensorflow 2.0
Real-time-Object-Detection-for-Autonomous-Driving-using-Deep-Learning - My Computer Vision project from my Computer Vision Course (Fall 2020) at Goethe University Frankfurt, Germany. Performance comparison between state-of-the-art Object Detection algorithms YOLO and Faster R-CNN based on the Berkeley DeepDrive (BDD100K) Dataset.
TrainYourOwnYOLO - Train a state-of-the-art yolov3 object detector from scratch!
Face-Mask-Detection - Face Mask Detection system based on computer vision and deep learning using OpenCV and Tensorflow/Keras
revery - :zap: Native, high-performance, cross-platform desktop apps - built with Reason!
ktrain - ktrain is a Python library that makes deep learning and AI more accessible and easier to apply
theme-ui - Build consistent, themeable React apps based on constraint-based design principles
SynthDet - SynthDet - An end-to-end object detection pipeline using synthetic data
Swin-Transformer-Object-Detection - This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows" on Object Detection and Instance Segmentation.