dlstreamer
openvino
dlstreamer | openvino | |
---|---|---|
2 | 17 | |
501 | 5,962 | |
2.4% | 3.8% | |
4.3 | 10.0 | |
6 days ago | 4 days ago | |
C++ | C++ | |
MIT License | Apache License 2.0 |
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dlstreamer
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What is the best model and approach to identify a car model? Is a YOLO a good choice for that or is it better to user YOLO or RCNN or darknet for object detection and then use somethin like resnet152 to predict the exact model?
If you want object detection, classification (car models in your case) as well as tracking them, before getting your feet wet on model selection viz., Yolo, RCNN etc, check out Intel DLStreamer which uses GStreamer as the back end.... It uses Intel OpenVINO for inferencing and custom plugins for detection/classification and tracking also.... Intel has a big model zoo of pre-trained models, which can do the task of identifying the car models..... https://github.com/dlstreamer/dlstreamer
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How would you approach hosting real time detection model in server/cloud?
https://github.com/dlstreamer/dlstreamer based on gstreamer
openvino
- FLaNK Stack 05 Feb 2024
- QUIK is a method for quantizing LLM post-training weights to 4 bit precision
- Intel OpenVINO 2023.1.0 released
- Intel OpenVINO 2023.1.0 released, open-source toolkit for optimizing and deploying AI inference
- OpenVINO 2023.1.0 released
- [N] Intel OpenVINO 2023.1.0 released, open-source toolkit for optimizing and deploying AI inference
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Powering Anomaly Detection for Industry 4.0
Anomalib is an open-source deep learning library developed by Intel that makes it easy to benchmark different anomaly detection algorithms on both public and custom datasets, all by simply modifying a config file. As the largest public collection of anomaly detection algorithms and datasets, it has a strong focus on image-based anomaly detection. It’s a comprehensive, end-to-end solution that includes cutting-edge algorithms, relevant evaluation methods, prediction visualizations, hyperparameter optimization, and inference deployment code with Intel’s OpenVINO Toolkit.
What are some alternatives?
vokoscreenNG - vokoscreenNG is a powerful screencast creator in many languages to record the screen, an area or a window (Linux only). Recording of audio from multiple sources is supported. With the built-in camera support, you can make your video more personal. Other tools such as systray, magnifying glass, countdown, timer, Showclick and Halo support will help
TensorRT - NVIDIA® TensorRT™ is an SDK for high-performance deep learning inference on NVIDIA GPUs. This repository contains the open source components of TensorRT.
ncnn - ncnn is a high-performance neural network inference framework optimized for the mobile platform
deepsparse - Sparsity-aware deep learning inference runtime for CPUs
AACS - Android Auto Server encapsulates communication with modern car infotainment system
mediapipe - Cross-platform, customizable ML solutions for live and streaming media.
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.
stable-diffusion - Go to lstein/stable-diffusion for all the best stuff and a stable release. This repository is my testing ground and it's very likely that I've done something that will break it.
nulloy - Music player with a waveform progress bar
neural-compressor - SOTA low-bit LLM quantization (INT8/FP8/INT4/FP4/NF4) & sparsity; leading model compression techniques on TensorFlow, PyTorch, and ONNX Runtime
nebuly - The user analytics platform for LLMs
tflite-micro - Infrastructure to enable deployment of ML models to low-power resource-constrained embedded targets (including microcontrollers and digital signal processors).