HASS-Deepstack-object
yolov3
HASS-Deepstack-object | yolov3 | |
---|---|---|
2 | 4 | |
403 | 10,000 | |
- | 0.4% | |
5.3 | 8.4 | |
about 1 year ago | 7 days ago | |
Python | Python | |
MIT License | GNU Affero General Public License v3.0 |
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HASS-Deepstack-object
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Deepstack: Open-Source AI Server
Hi everyone, I am Moses Olafenwa, the CEO and Head of Operations of the company DeepQuest AI (now a UK company based in Greenwich, London). First, apologies for the missing information of our names on the about page. The deepquestai.com website hasn't been updated recently due to our team being a small one and having lots to do.
About DeepStack: DeepStack is an artificial intelligence server we developed late 2018 to empower developers to easily setup, integrate and leverage AI functionalities (blog post: https://medium.com/deepquestai/deepstack-build-ai-powered-ap... ) fully on the edge or their private cloud machines.
Today, DeepStack is available as a Docker image on Docker Hub and native application for Windows, with support for CPUs, modern NVIDIA GPUs, Jetson devices, ARM devices, Linux and MacOS with over 10 millions installs on Docker Hub ( https://hub.docker.com/r/deepquestai/deepstack ). It include functionalities such as Face Recognition/Detection APIs, common objects detection, image superresolution, custom detection models to detect any custom object of interest and many more. You can learn more about the product and using it via the documentation linked below
https://docs.deepstack.cc
DeepStack has a very active community on the official forum https://forum.deepstack.cc and other forums like HomeAssistant ( https://community.home-assistant.io/t/face-and-person-detect... ), IPCamTalk( https://ipcamtalk.com/tags/deepstack/ ) and YouTube ( https://www.youtube.com/results?search_query=deepstack+ai+se... )
From year 2019 after we released DeepStack till early, 2021 the project was largely developed and maintained by John Olafenwa (the creator of the AI server) and I; pretty hard for 2 folks with day job to keep up with everything involved in the project which is why some of our sites are not fully updated. That is about to change in 2022 as we grew to a team of 6 late last year and growing to ensure we keep developing, maintaining and improving DeepStack for the almost a million developers leveraging the server to integrate AI.
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For what do you use your Jetson Nano?
Running Deepstack on it, paired with HASS-Deepstack-object in Home Assistant.
yolov3
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[Tutorial] "Fine Tuning" Stable Diffusion using only 5 Images Using Textual Inversion.
Hey. I only have experience using the official repository, and only use Linux. Could you try the solutions here and see if it helps? https://github.com/ultralytics/yolov3/issues/1643
- How to train a model for object detection in Golang?
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Engineering Student AI model turns sign language to English in real time.
YOLOv3: https://github.com/ultralytics/yolov3
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I don't know how to train a YOLO v3 model with some custom data that is labeled in an unusual form (XML files)
Each image has an XML file associated with it. The XML files have the corresponding labels and bounding boxes, so I can write a script to convert them into this form, and follow this tutorial on training custom data.
What are some alternatives?
frigate - NVR with realtime local object detection for IP cameras
yolov5 - YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite
yolov7 - Implementation of paper - YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors
ImageAI - A python library built to empower developers to build applications and systems with self-contained Computer Vision capabilities
yolov7_d2 - 🔥🔥🔥🔥 (Earlier YOLOv7 not official one) YOLO with Transformers and Instance Segmentation, with TensorRT acceleration! 🔥🔥🔥
DeepStack - The World's Leading Cross Platform AI Engine for Edge Devices
yolov5-crowdhuman - Head and Person detection using yolov5. Detection from crowd.
Mask_RCNN - Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
tensorflow-yolo-v3 - Implementation of YOLO v3 object detector in Tensorflow (TF-Slim)
mmdetection - OpenMMLab Detection Toolbox and Benchmark
kapao - KAPAO is an efficient single-stage human pose estimation model that detects keypoints and poses as objects and fuses the detections to predict human poses.