CenterSnap
SynthDet
CenterSnap | SynthDet | |
---|---|---|
4 | 3 | |
270 | 351 | |
- | 0.9% | |
4.0 | 2.9 | |
2 months ago | 10 months ago | |
Jupyter Notebook | C# | |
- | Apache License 2.0 |
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CenterSnap
- Who is building StableDiffusion/DALL-E but for 3D assets?
- [D] Diffusers applied to 3D model generation
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In A Latest Computer Vision Research, Researchers Propose ShAPO; An End-To-End Method For Joint Multi-Object Detection, 3D Textured Reconstruction, 6D Object Pose, And Size Estimation
Continue reading | Check out the paper, github link and project page.
- 6DOF Pose Estimation using RGBD data
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?
text2mesh - 3D mesh stylization driven by a text input in PyTorch
AI-basketball-analysis - :basketball::robot::basketball: AI web app and API to analyze basketball shots and shooting pose.
text2voxels - Generate 3D voxels from text with AI
Deep-Learning-Push-Up-Counter - Deep Learning approach to count the number of repetitions in a video of push ups or pull ups.
virtual_drawing_board - Virtual whiteboard with hand pose estimation
yolov3-tf2 - YoloV3 Implemented in Tensorflow 2.0
Robotics-Object-Pose-Estimation - A complete end-to-end demonstration in which we collect training data in Unity and use that data to train a deep neural network to predict the pose of a cube. This model is then deployed in a simulated robotic pick-and-place task.
machine-learning-for-trading - Code for Machine Learning for Algorithmic Trading, 2nd edition.
Clip-Forge
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.
GPV_Pose - pytorch implementation of GPV-Pose
make-sense - Free to use online tool for labelling photos. https://makesense.ai