TrainYourOwnYOLO
TACO
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| TrainYourOwnYOLO | TACO | |
|---|---|---|
| 1 | 3 | |
| 635 | 540 | |
| - | - | |
| 0.0 | 0.0 | |
| over 1 year ago | about 1 year ago | |
| Jupyter Notebook | Jupyter Notebook | |
| GNU General Public License v3.0 or later | MIT License |
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TrainYourOwnYOLO
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help calculating AP for yolov3 on matlab also my recall precision plot looks jank, more info in comments
Hey, so im pretty new to this and used https://github.com/AntonMu/TrainYourOwnYOLO to train a yolov3 model for pedestrian detection. I'm using the kitti object detection dataset.
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?
SSD-Mobilenet-Custom-Object-Detector-Model-using-Tensorflow-2 - This repository contains the script and process to create custom SSD Mobilenet model for object detection
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/
colabcat - :smiley_cat: Running Hashcat on Google Colab with session backup and restore.
yolov3-tf2 - YoloV3 Implemented in Tensorflow 2.0
super-resolution - Tensorflow 2.x based implementation of EDSR, WDSR and SRGAN for single image super-resolution
Mask-RCNN-Implementation - Mask RCNN Implementation on Custom Data(Labelme)
tf2patcher - A patcher for TF2 that allows you to apply full-colored decals.
revery - :zap: Native, high-performance, cross-platform desktop apps - built with Reason!
pix2seq - Pix2Seq codebase: multi-tasks with generative modeling (autoregressive and diffusion)
theme-ui - Build consistent, themeable React apps based on constraint-based design principles
CleanTF2plus - Clean TF2's sequel
Swin-Transformer-Object-Detection - This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows" on Object Detection and Instance Segmentation.