Mask-RCNN-Implementation
SynthDet
| Mask-RCNN-Implementation | SynthDet | |
|---|---|---|
| 1 | 3 | |
| 3 | 350 | |
| - | 0.6% | |
| 3.2 | 2.9 | |
| about 3 years ago | 10 months ago | |
| Jupyter Notebook | C# | |
| MIT License | Apache License 2.0 |
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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.
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?
What are some alternatives?
labelme - Image Polygonal Annotation with Python (polygon, rectangle, circle, line, point and image-level flag annotation).
AI-basketball-analysis - :basketball::robot::basketball: AI web app and API to analyze basketball shots and shooting pose.
Mask_RCNN - Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
Deep-Learning-Push-Up-Counter - Deep Learning approach to count the number of repetitions in a video of push ups or pull ups.
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.
yolov3-tf2 - YoloV3 Implemented in Tensorflow 2.0
Face-Mask-Detection - Face Mask Detection system based on computer vision and deep learning using OpenCV and Tensorflow/Keras
machine-learning-for-trading - Code for Machine Learning for Algorithmic Trading, 2nd edition.
ktrain - ktrain is a Python library that makes deep learning and AI more accessible and easier to apply
TACO - 🌮 Trash Annotations in Context Dataset Toolkit
make-sense - Free to use online tool for labelling photos. https://makesense.ai