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| gluon-cv | hagrid | |
|---|---|---|
| 1 | 7 | |
| 5,751 | 477 | |
| 0.9% | - | |
| 1.8 | 5.3 | |
| over 1 year ago | about 1 month ago | |
| Python | Python | |
| Apache License 2.0 | - |
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gluon-cv
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FOSS self-hosted image-to-text gpu accelerated object recognition ? Is there anything on the table yet ?
https://github.com/amusi/awesome-object-detection https://mmdetection.readthedocs.io/en/latest/index.html https://github.com/thtrieu/darkflow https://github.com/OlafenwaMoses/ImageAI https://github.com/dmlc/gluon-cv https://github.com/aim-uofa/AdelaiDet/ https://github.com/aim-uofa/AdelaiDet/blob/master/configs/FCOS-Detection/README.md https://github.com/wizyoung/YOLOv3_TensorFlow
hagrid
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COMPLETE OVERRIDE, THE WORKER. Reality on the second play. The keyframes were created at full size directly in the txt2img tab of Stable Diffusion all at the same time. It took about 30 minutes.
Not sure how HaGRID is going but one would expected hands problem would be already solved by now.
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Magda s Jitkou a jejich mech před Ústavem robotiky v Praze někdy na konci srpna roku 1982 ;-) #midjourneyart
Pokud sháníš detailní ruce, tak HaGRID by mohl pomoct
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Meirl
For hands and fingers, if you know how to inpaint and/or integrate datasets into your own model, HaGRID is by far the best dataset and there are a few models you can use for basic inpainting/correction. For other limbs you need just a better model and/or learn negative prompts better. The Stable Diffusion sub can help with both.
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Are there any known hand-trained models?
This may be useful? https://github.com/hukenovs/hagrid
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GREAT NEWS!: Automagic 1111 added support for Stable Diffusion 2.0 - thank you so much !!!
By the way, this is the hands-model Emad mentioned yesterday they want to start training on for SD: https://github.com/hukenovs/hagrid
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HaGRID (HAnd Gesture Recognition Image Dataset)
Github
- HaGRID is a large image dataset for hand gesture recognition systems
What are some alternatives?
Video-Dataset-Loading-Pytorch - Generic PyTorch dataset implementation to load and augment VIDEOS for deep learning training loops.
pytorch-grad-cam - Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.
photo2cartoon - 人像卡通化探索项目 (photo-to-cartoon translation project)
chitra - A multi-functional library for full-stack Deep Learning. Simplifies Model Building, API development, and Model Deployment.
darkflow - Translate darknet to tensorflow. Load trained weights, retrain/fine-tune using tensorflow, export constant graph def to mobile devices
label-studio - Label Studio is a multi-type data labeling and annotation tool with standardized output format
VolleyVision - Applying Deep Learning Approaches to Volleyball Data
sense - Enhance your application with the ability to see and interact with humans using any RGB camera.
PeekingDuck - A modular framework built to simplify Computer Vision inference workloads.
autogluon - Fast and Accurate ML in 3 Lines of Code
AgML - AgML is a centralized framework for agricultural machine learning. AgML provides access to public agricultural datasets for common agricultural deep learning tasks, with standard benchmarks and pretrained models, as well the ability to generate synthetic data and annotations.
bbox-visualizer - Make drawing and labeling bounding boxes easy as cake