All Projects → Stick-To → Object-Detection-Tensorflow

Stick-To / Object-Detection-Tensorflow

Licence: MIT license
Object Detection API Tensorflow

Programming Languages

python
139335 projects - #7 most used programming language

Projects that are alternatives of or similar to Object-Detection-Tensorflow

Object Detection Api Tensorflow
Object Detection API Tensorflow
Stars: ✭ 267 (-2.91%)
Mutual labels:  yolo, ssd, rcnn
simpleAICV-pytorch-ImageNet-COCO-training
SimpleAICV:pytorch training example on ImageNet(ILSVRC2012)/COCO2017/VOC2007+2012 datasets.Include ResNet/DarkNet/RetinaNet/FCOS/CenterNet/TTFNet/YOLOv3/YOLOv4/YOLOv5/YOLOX.
Stars: ✭ 276 (+0.36%)
Mutual labels:  retinanet, fcos, centernet
object-tracking
Multiple Object Tracking System in Keras + (Detection Network - YOLO)
Stars: ✭ 89 (-67.64%)
Mutual labels:  yolo, rcnn
objdet web
Image object detection demo(YOLO,SSD,etc.) running as a Flask web server.
Stars: ✭ 52 (-81.09%)
Mutual labels:  yolo, ssd
Ssd.tensorflow
State-of-the-art Single Shot MultiBox Detector in Pure TensorFlow, QQ Group: 758790869
Stars: ✭ 334 (+21.45%)
Mutual labels:  yolo, ssd
Paddledetection
Object Detection toolkit based on PaddlePaddle. It supports object detection, instance segmentation, multiple object tracking and real-time multi-person keypoint detection.
Stars: ✭ 5,799 (+2008.73%)
Mutual labels:  ssd, fcos
DL.EyeSight
Mainly use SSD, YOLO and other models to solve the target detection problem in image and video !
Stars: ✭ 48 (-82.55%)
Mutual labels:  yolo, ssd
miemiedetection
Pytorch implementation of YOLOX、PPYOLO、PPYOLOv2、FCOS an so on.
Stars: ✭ 52 (-81.09%)
Mutual labels:  yolo, fcos
Mmdetection
OpenMMLab Detection Toolbox and Benchmark
Stars: ✭ 17,646 (+6316.73%)
Mutual labels:  ssd, retinanet
Ssds.pytorch
Repository for Single Shot MultiBox Detector and its variants, implemented with pytorch, python3.
Stars: ✭ 570 (+107.27%)
Mutual labels:  yolo, ssd
Ssd Tensorflow
Single Shot MultiBox Detector in TensorFlow
Stars: ✭ 4,066 (+1378.55%)
Mutual labels:  yolo, ssd
Cv Papers
计算机视觉相关论文整理、记录、分享; 包括图像分类、目标检测、视觉跟踪/目标跟踪、人脸识别/人脸验证、OCR/场景文本检测及识别等领域。欢迎加星,欢迎指正错误,同时也期待能够共同参与!!! 持续更新中... ...
Stars: ✭ 738 (+168.36%)
Mutual labels:  yolo, ssd
Xtreme-Vision
A High Level Python Library to empower students, developers to build applications and systems enabled with computer vision capabilities.
Stars: ✭ 77 (-72%)
Mutual labels:  retinanet, centernet
Rectlabel Support
RectLabel - An image annotation tool to label images for bounding box object detection and segmentation.
Stars: ✭ 338 (+22.91%)
Mutual labels:  yolo, ssd
Vehicle Detection
Compare FasterRCNN,Yolo,SSD model with the same dataset
Stars: ✭ 130 (-52.73%)
Mutual labels:  yolo, ssd
PFPNet-tensorflow
Parallel Feature Pyramid Network for Object Detection in tensorflow
Stars: ✭ 26 (-90.55%)
Mutual labels:  ssd, pfpnet
tensorrt-ssd-easy
No description or website provided.
Stars: ✭ 32 (-88.36%)
Mutual labels:  ssd
Abnormal-behavior-Detection
Abnormal behavior detection in the video surveillance based on yolo darknet
Stars: ✭ 35 (-87.27%)
Mutual labels:  yolo
darknet-vis
Visualize YOLO feature map in prediction for easily checking your model performance
Stars: ✭ 68 (-75.27%)
Mutual labels:  yolo
detection-pytorch
A pytorch Implementation of classical object detection.
Stars: ✭ 24 (-91.27%)
Mutual labels:  ssd

Object-Detection-API-Tensorflow

Features

Every model is implemented in only one file!

Models

Yolo2

Yolo3

SSD

RetinaNet

RefineDet

Light Head Rcnn

PFPNet

CenterNet

FCOS

Train your own data

Train your own data

1. TFRecord generation

  1. voc format dataset

  2. fill in utils.voc_classname_encoder.py

  3. run utils.test_voc_utils.py

2. config online image augmentor

fill in dict 'image_augmentor_config' in test-model.py

see utils.image_augmentor.py for details

see https://github.com/Stick-To/Online_Image_Augmentor_tensorflow for details

3. config model

fill in dict 'config' in test-model.py

4. Train

run test-model.py

The pre-trained vgg_16.ckpt could be downloaded from http://download.tensorflow.org/models/vgg_16_2016_08_28.tar.gz

5. Test

run annotated code in test-model.py

6. ImageNet pretraining

see utils.tfrecord_imagenet_utils.py

7. different conv backone

https://github.com/Stick-To/Deep_Conv_Backone

8. Instantiation of result

corresponding repository in https://github.com/Stick-To

Experimental Environment

python3.7 tensorflow1.13

Note that the project description data, including the texts, logos, images, and/or trademarks, for each open source project belongs to its rightful owner. If you wish to add or remove any projects, please contact us at [email protected].