Think-Big-Do-Small/ImageMaskLabelAssistant

Label an image with masks with just several steps of mouse click.

ImageMaskPolygonLabelAssistant (图像数据集多边形标注助手)

• Label an image to generate masks with just several steps of mouse click.
  

• With this polygon labeling tool, generating a custom image dataset for deep learning pipeline is much more easier.
  

• I believe you will love it, if you continue to find new tricks of this tool.
  

• Not yet, it is just a prepraring to release version, with so many bugs needed to be fixed.
  

• I will try my best until it worked well.
  

• source image

• labeled object 1 mask

• labeled object 2 mask

• labeled object 3 mask

• labeled object 4 mask

• labeled image weights in json format
• json weights

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ImageMaskLabelAssistant

Image Mask Labeling Assistant with OpenCV Toolkit and PyQt.

NOTES.

Run Programs with opencv and pyqt.

• Release Version - 下载地址一 下载地址2
• Demo : generate image polygon masks with only mouse click
• 
  

ImageMaskLabelAssistant NOTES

• ImageMaskLabelAssistant - ImageMaskLabelAssistant

 Science is a wonderful thing, if one has no need to make a living of it.     ——  by 爱因斯坦
 
 # ImageFormatOpStack.py
from PIL import Image, ImageQt
import cv2
import numpy as np
from PyQt5.QtGui import QImage,QPixmap


def QPixmap2Image(pix):
    # QPixmap to Image
    # pix to QImage 
    qimage = pix.toImage()
    # QImage to Image 
    dst = ImageQt.fromqimage(qimage)
    return dst

def Image2QPixmap(image):
    if image.mode == "RGB":
        image = image.convert("RGBA")
    #Image to QPixmap
    dst = ImageQt.toqpixmap(image)
    return dst


def QPixmap2CvMat(pix):
    # QPixmap to cv mat 
    image = QPixmap2Image(pix)
    dst = None 
    if image.mode == 'RGBA':
        image = np.array(image)
        dst = cv2.cvtColor(image, cv2.COLOR_RGBA2BGR)
    elif image.mode == 'RGB':
        image = np.array(image)
        dst = cv2.cvtColor(image, cv2.COLOR_RGB2BGR)
    return dst

def CvMat2QPixmap(mat_image):
    # cv mat to QPixmap 
    image = cv2.cvtColor(mat_image, cv2.COLOR_BGR2RGBA)
    image = Image.fromarray(image)
    pix = Image2QPixmap(image)
    return pix

About Me

• Computer Science, Master, Shenzhen University
• I am a software engineer
• I am familar with computer languages, like c++,java,python,c,matlab,html,css,jquery
• I am familar with databases such as mysql, postgresql
• I am familar with flask, apache tomcat
• I am familar with libraries qt, opencv, caffe, keras, tensorflow, openvino
• I am familar with gpu libraries like cuda, cudnn
• I am recently doing some image segmentation projects with c++, python and cuda background matting etc.
  

About Software Development Experience

• 图像数据集多边形标注助手 - ImageMaskLabelAssistant
• CvImageProcessingAssistant - CvImageProcessingAssistant
  
• Cuda-OpenCV-Object-Detection-Demo - CvImageProcessingAssistant
  
• RabbitRun(smart file packaging with high speed and efficiency)
  visit site: www.aizaozhidao.vip/tuzikuaipao
• AI早知道(ai related projects for demostration)
  visit site: www.aizaozhidao.vip