Chenzongyuan123's Stars
HanMENG15990045033/Python_for_Data_Analysis_Wes_McKinney-
note for the book Python for Data Analysis: Data Wrangling with Pandas, Numpy, and IPython by Wes McKinney
datawhalechina/pumpkin-book
《机器学习》(西瓜书)公式详解
testerSunshine/12306
12306智能刷票,订票
WXinlong/SOLO
SOLO and SOLOv2 for instance segmentation, ECCV 2020 & NeurIPS 2020.
yilunzhao/SRTP_maskRCNN
segmentation of surgery tools using mask RCNN
lijunyu159/stomatal_pore_measurement-MaskRCNN
一种基于Mask R-CNN的植物气孔解剖参数测量方法
chikacya/MRCNN_with_DFPN
Mask RCNN with double fpn and k-means anchors(not yolo version)
dpeerlab/MaskRCNN_cell
An implementation of Mask R-CNN designed for single-cell instance segmentation in the context of multiplexed tissue imaging
YDS-FOREVER/Mask_RCNN-master--TrainOwerDatset
使用keras版本的Mask-RCNN来训练自己的数据,通过代码把样本制作麻烦的步骤变成简单方便。
louisyuzhe/car-damage-detector
Mask R-CNN Model to detect the area of damage on a car. The rationale for such a model is that it can be used by insurance companies for faster processing of claims if users can upload pics and they can assess damage from them. This model can also be used by lenders if they are underwriting a car loan especially for a used car.
Hellcatzm/Mask_RCNN
Mask R-CNN on Keras and TensorFlow,个人注释版
guchengxi1994/mask2json
a small tool for image augmentation, including mask files to json/xml files , image augmentation(flip,rotation,noise,...) and so on
TrickyGo/Dive-into-DL-TensorFlow2.0
本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为TensorFlow 2.0实现,项目已得到李沐老师的认可
jasony070/NonMaxSuppression
aleju/imgaug
Image augmentation for machine learning experiments.
keras-team/keras-applications
Reference implementations of popular deep learning models.
matterport/Mask_RCNN
Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
bharatsingh430/soft-nms
Object Detection
USERDXZ/soft-nms-keras
An implement of Soft NMS algorithm in keras
noxouille/rt-mrcnn
Real time instance segmentation with Mask R-CNN, live from webcam feed.
nearthlab/image-segmentation
Mask R-CNN, FPN, LinkNet, PSPNet and UNet with multiple backbone architectures support readily available
Res2Net/Res2Net-maskrcnn
Res2Net for Instance segmentation and Object detection using MaskRCNN
Younjzxx/Res2Net-MaskRCNN-keras
将原生keras版本的MaskRCNN的ResNet的模块修改为了Res2Net.
jackfrued/Python-Core-50-Courses
Python语言基础50课
jackfrued/Python-100-Days
Python - 100天从新手到大师
sandhyamurali23/Brain-Tumor-Extraction-From-MRI-images
This project segments the tumor from MRI images using k-means, watershed, MSER, Otsu’s thresholding and graythresh segmentation techniques. Normalized cross correlation technique is also performed to compare the extracted tumor with the template tumor and achieved an accuracy of 85% in extracting the right tumor from brain images.
itaicohengroup/watershed_cells_gui
MATLAB-based GUI to analyze images of fluorescently-stained cells
chetanmreddy/watershed-algorithm
This is the implementation of watershed algorithm to detect objects in an occluded picture which cannot be identified by a simple thresholding technique.
RohanTrix/Osteosarcoma-cell-Segmentation-using-Watershed
Cancerous cell nuclei segmentation followed by counting and sizing the nuclei using image processing through OpenCV
vamshi009/Modified-Watershed
Implemented a modified watershed algorithm using adaptive thresholding and adaptive masking techniques.