ComfyUI-Depth-Anything-Tensorrt
inference
| ComfyUI-Depth-Anything-Tensorrt | inference | |
|---|---|---|
| 2 | 6 | |
| 58 | 1,098 | |
| - | 6.9% | |
| 7.7 | 9.9 | |
| 1 day ago | 3 days ago | |
| Python | Python | |
| GNU General Public License v3.0 or later | GNU General Public License v3.0 or later |
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ComfyUI-Depth-Anything-Tensorrt
inference
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YOLOv5 on FPGA with Hailo-8 and 4 Pi Cameras
Great question! I work for a computer vision company (Roboflow) and have seen computer vision used for everything from accident prevention on critical infrastructure to identifying defects on vehicle parts to detecting trading cards for use in video game applications.
Drawing bounding boxes is a common end point for demos, but for businesses using computer vision there is an entire world after that: on device deployment. This can be on devices like an NVIDIA Jetson (a very common choice), to Raspberry Pis to central CUDA GPU servers for processing large volumes of data (maybe connected to cameras over RTSP).
Note: There are many models that are faster and perform better than YOLOv5 (i.e. YOLOv8, YOLOv10, PaliGemma). Roboflow Inference that our ML team maintains has various guides on deploying models to the edge: https://inference.roboflow.com/#inference-pipeline
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Supervision: Reusable Computer Vision
Yeah, inference[1] is our open source package for running locally (either directly in Python or via a Docker container). It works with all the models on Universe, models you train yourself (assuming we support the architecture; we have a bunch of notebooks available[2]), or train in our platform, plus several more general foundation models[3] (for things like embeddings, zero-shot detection, question answering, OCR, etc).
We also have a hosted API[4] you can hit for most models we support (except some of the large vision models that are really GPU-heavy) if you prefer.
[1] https://github.com/roboflow/inference
[2] https://github.com/roboflow/notebooks
[3] https://inference.roboflow.com/foundation/about/
[4] https://docs.roboflow.com/deploy/hosted-api
- Serverless development experience for embedded computer vision
- FLaNK Stack Weekly 16 October 2023
- Show HN: Pip install inference, open source computer vision deployment
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