SynthDet
Deep-Learning-Push-Up-Counter
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| SynthDet | Deep-Learning-Push-Up-Counter | |
|---|---|---|
| 3 | 1 | |
| 350 | 26 | |
| 0.9% | - | |
| 2.9 | 1.8 | |
| 10 months ago | almost 4 years ago | |
| C# | Jupyter Notebook | |
| 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.
SynthDet
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Looking for 3D food packaging assets
Didn't try but Unity did a object recognition project with store products: https://github.com/Unity-Technologies/SynthDet. You can find the models and texture in the "Assets/Foreground Objects" folder. And you may need to check the license depending on your usage.
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How to generate images and labels using unity (or other game engine) to train YOLO5 object detection model? (Synthetic Data generation using unity for neural network learning). Are there any existing solutions or guides?
This is probably what you're looking for . https://github.com/Unity-Technologies/SynthDet
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Imported materials for objects can't edit.
So I'm working on Unity with this Project (SynthDet) https://github.com/Unity-Technologies/SynthDet and I'm working on imported objects (obj. ), trying to edit materials of those objects, but I can't. The materials are gredy out. Don't know what to do. Do you guys have any ideas what to do, to allow to edit imported materials?
Deep-Learning-Push-Up-Counter
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Counting repetitions in a video
Hi ! I am currently working on a project which involves the recognition of tennis strokes in videos. I have already implemented the detection part using a pre-trained OpenPose model to find the body keypoints and an LSTM for the classification task. Now I am having some trouble counting those movements. I have seen various approaches, but I would like something lightweight, somehow related to this specific task. Here is a project which uses optical flows to detect patterns in the movements, but a tennis stroke is a more complex action and I don't know how to label the frames (swing, not swing maybe). Another solution would be to use the already computed keypoints to compute some angles, but I didn't find something related to tennis. Thank you!
What are some alternatives?
AI-basketball-analysis - :basketball::robot::basketball: AI web app and API to analyze basketball shots and shooting pose.
DenseDepth - High Quality Monocular Depth Estimation via Transfer Learning
yolov3-tf2 - YoloV3 Implemented in Tensorflow 2.0
labml - 🔎 Monitor deep learning model training and hardware usage from your mobile phone 📱
machine-learning-for-trading - Code for Machine Learning for Algorithmic Trading, 2nd edition.
Machine_Learning_and_Deep_Learning_models - Repository containing models based on ideas of Machine learning and Deep learning
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.
Face-Mask-Detection - Face Mask Detection system based on computer vision and deep learning using OpenCV and Tensorflow/Keras
make-sense - Free to use online tool for labelling photos. https://makesense.ai
YPDL-Build-a-movie-recommendation-engine-with-TensorFlow - In this tutorial, we are going to build a Restricted Boltzmann Machine using TensorFlow that will give us recommendations based on movies that have been watched already. The datasets we are going to use are acquired from GroupLens and contains movies, users, and movie ratings by these users.
Mask-RCNN-Implementation - Mask RCNN Implementation on Custom Data(Labelme)
LoFTR - Code for "LoFTR: Detector-Free Local Feature Matching with Transformers", CVPR 2021, T-PAMI 2022