TensorRT MODNet, YOLOv4, YOLOv3, SSD, MTCNN, and GoogLeNet
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Updated
Jul 26, 2024 - Python
TensorRT MODNet, YOLOv4, YOLOv3, SSD, MTCNN, and GoogLeNet
Face Mask Detection system based on computer vision and deep learning using OpenCV and Tensorflow/Keras
Multi-object trackers in Python
An example running Object Detection using Core ML (YOLOv8, YOLOv5, YOLOv3, MobileNetV2+SSDLite)
Object detection with ssd_mobilenet and tiny-yolo (Add: YOLOv3, tflite)
An iOS application of Tensorflow Object Detection with different models: SSD with Mobilenet, SSD with InceptionV2, Faster-RCNN-resnet101
ROS 2 packages for PyTorch and TensorRT for real-time classification and object detection on Jetson Platforms
A Real Time Object Detection application on iOS using Tensorflow and pre-trained COCO dataset models. Video frames are captured and inference is done locally using the provided mobilenet models. Both Swift and Objective-C projects.
Simpler app for tensorflow object detection API
MobileNetV3 SSD的简洁版本
A face mask detection using ssd with simplified Mobilenet and RFB or Pelee in Tensorflow 2.1. Training on your own dataset. Can be converted to kmodel and run on the edge device of k210
An image recognition/object detection model that detects handwritten digits and simple math operators. The output of the predicted objects (numbers & math operators) is then evaluated and solved.
Flutter App real-time object detection with Tensorflow Lite
基于PaddlePaddle实现的SSD,包括MobileNetSSD,MobileNetV2SSD,VGGSSD,ResNetSSD
Object detection on Jetson Nano, Raspberry Pi and Laptop
This repository contains the script and process to create custom SSD Mobilenet model for object detection
TensorFlow Lite SSD on bare Raspberry Pi 4 with 64-bit OS at 24 FPS
Face detection model zoo
SSD: Single Shot MultiBox Detector | a PyTorch Model for Object Detection | VOC , COCO | Custom Object Detection
Social Distancing and Face Mask Detection using TensorFlow. Install all required Libraries and GPU drivers as well. Refer to README.md or REPORT for know to installation requirement
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