InteractiveAnnotation
infery-examples
| InteractiveAnnotation | infery-examples | |
|---|---|---|
| 1 | 1 | |
| 20 | 50 | |
| - | - | |
| 7.2 | 0.0 | |
| about 1 year ago | 5 months ago | |
| Jupyter Notebook | Jupyter Notebook | |
| - | GNU General Public License v3.0 or later |
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InteractiveAnnotation
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Boost 🚀 your (instance) segmentation labeling using the trainYOLO platform.
Really cool here is also opensource implementation of instance segmentation using segement anything https://github.com/Asad-Ismail/InteractiveAnnotation
infery-examples
What are some alternatives?
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nebuly - The user analytics platform for LLMs
timm-flutter-pytorch-lite-blogpost - PyTorch at the Edge: Deploying Over 964 TIMM Models on Android with TorchScript and Flutter.
EdgeSAM - Official PyTorch implementation of "EdgeSAM: Prompt-In-the-Loop Distillation for On-Device Deployment of SAM"
keras_cv_stable_diffusion_to_tflite - Scripts for converting Keras CV Stable Diffusion to tflite
w2v2-how-to - How to use our public wav2vec2 dimensional emotion model
TNN - TNN: developed by Tencent Youtu Lab and Guangying Lab, a uniform deep learning inference framework for mobile、desktop and server. TNN is distinguished by several outstanding features, including its cross-platform capability, high performance, model compression and code pruning. Based on ncnn and Rapidnet, TNN further strengthens the support and performance optimization for mobile devices, and also draws on the advantages of good extensibility and high performance from existed open source efforts. TNN has been deployed in multiple Apps from Tencent, such as Mobile QQ, Weishi, Pitu, etc. Contributions are welcome to work in collaborative with us and make TNN a better framework.