749 Open source projects that are alternatives of or similar to live-cctv

This repository allows you to get started with training a state-of-the-art Deep Learning model with little to no configuration needed! You provide your labeled dataset or label your dataset using our BMW-LabelTool-Lite and you can start the training right away and monitor it in many different ways like TensorBoard or a custom REST API and GUI. NoCode training with YOLOv4 and YOLOV3 has never been so easy.

Deep Learning Applications (Darknet - YOLOv3, YOLOv4 | DeOldify - Image Colorization, Video Colorization | Face-Recognition) with Google Colaboratory - on the free Tesla K80/Tesla T4/Tesla P100 GPU - using Keras, Tensorflow and PyTorch.

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MobileNetV2-YoloV3-Nano: 0.5BFlops 3MB HUAWEI P40: 6ms/img, YoloFace-500k:0.1Bflops 420KB🔥🔥🔥

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mean Average Precision - This code evaluates the performance of your neural net for object recognition.

image (semantic segmentation) instance segmentation by darknet or yolo

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Simple python wrapper for YOLO.

GUI for marking bounded boxes of objects in images for training neural network Yolo v3 and v2 https://github.com/AlexeyAB/darknet, https://github.com/pjreddie/darknet

reproduce the YOLO series of papers in pytorch, including YOLOv4, PP-YOLO, YOLOv5，YOLOv3, etc.

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Accompanying code for Paperspace tutorial series "How to Implement YOLO v3 Object Detector from Scratch"

GUI for marking bounded boxes of objects in images for training neural network Yolo v3 and v2

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This is a repository for an nocode object detection inference API using the Yolov3 and Yolov4 Darknet framework.

Post processing video magic with ZoneMinder: find missing objects, blend multiple events, annotate videos, and more

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🐛 🐛 Opencv视频流传输到网页浏览器并做目标检测 🐛 🐛

YOLO v3 and Tiny YOLO v1, v2, v3 with Tensorflow.js

The back-end for the YOLOv3 object detector running as a webapp

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Deep Learning Applied To Vehicle Registration Plate Detection and Recognition in PyTorch.

Etiketai is an online tool designed to label images, useful for training AI models

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