a-PyTorch-Tutorial-to-Object-Detection
vision_transformer
Our great sponsors
| a-PyTorch-Tutorial-to-Object-Detection | vision_transformer | |
|---|---|---|
| 3 | 1 | |
| 2,960 | 9 | |
| - | - | |
| 4.9 | 5.1 | |
| 6 months ago | about 1 year ago | |
| Python | Python | |
| 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.
a-PyTorch-Tutorial-to-Object-Detection
-
Beginner : Object (shape) detection in binary images
I have also experimented with SSD300 models from this example : https://github.com/sgrvinod/a-PyTorch-Tutorial-to-Object-Detection but again, I think the lack of RGB/greyscale data makes this largely useless ?
-
Learning resources: multi-object localization
Also, this SSD walkthrough is pretty good as well and goes into a lot more depth on the concepts.
-
What is an easy way to find an image within another image?
Something like this perhaps? https://github.com/sgrvinod/a-PyTorch-Tutorial-to-Object-Detection
vision_transformer
-
Building and Training Vision Transformer from Scratch
Source code: https://github.com/MikhailKravets/vision_transformer
What are some alternatives?
mmrotate - OpenMMLab Rotated Object Detection Toolbox and Benchmark
PyTorchZeroToAll - Simple PyTorch Tutorials Zero to ALL!
SSD-pytorch - SSD: Single Shot MultiBox Detector pytorch implementation focusing on simplicity
torch-hypernetwork-tutorials - Hypernetwork training considerations and implementation types in PyTorch. Includes classification and time-series examples alongside 1D GroupConv Parallelization.
mmdetection - OpenMMLab Detection Toolbox and Benchmark
mildlyoverfitted - Paper implementations from scratch and machine learning tutorials
yolov5 - YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite
CRAFT-pytorch - Official implementation of Character Region Awareness for Text Detection (CRAFT)
ssd_keras - A Keras port of Single Shot MultiBox Detector
TensorFlow-object-detection-tutorial - The purpose of this tutorial is to learn how to install and prepare TensorFlow framework to train your own convolutional neural network object detection classifier for multiple objects, starting from scratch
PedestrianDetection-NohNMS - Code for ACM MM 2020 paper "NOH-NMS: Improving Pedestrian Detection by Nearby Objects Hallucination"
Put-In-Context - Putting Visual Object Recognition in Context