搜索资源列表
yolov3-tf2-master
- tensorflow2.0yolov3代码(tensorflow2.0yolov3code)
画图
- 可以根据名画重组你的照片，让你的照片有名画的风格
python读取图片光谱
- 利用python中envi接口读取图片光谱矩阵 简介有效快速
J-ICE-2.2.0
- J-ICE: The 1st online viewer for Crystallographic and Electronic properties. It allows users to visualize, build and manipulate complex input or output results (derived from modelling) entirely via a web server, i.e., without the burden of installing
基于生成对抗网络的图像自动生成
- 通过训练一定的数据集，可以自动生成数据集中所描述的类型的图像，可以做到以假乱真，使得图像的识别算法中看不出破绽，如果图像集是人脸，可以模拟生成出从来没见过的人脸！！！
cnn-edge-detection
- 卷积神经网络实现图像的边缘检测+python代码(CNN-edge-detection-python-codes)
deeppose-master
- 使用深度学习网络处理人体关节点定位的人体姿态识别(Human pose recognition)
人脸语义分割
- 能够对目标人物图像进行自动识别，并且完成精细的人脸语义分割
图像增强
- 图像纹理细节增强的相关代码，利用ImageEnhancement.py增强图像细节纹理
运动目标检测
- 检测骑自行车的人，随运动轨迹框出，适合刚接触运用opencv进行目标跟踪的编程爱好者参考(Detect the cyclist displaying the movement track)
车牌识别
- python+opencv实现车牌识别，通过canny算子边缘检测+颜色识别提取车牌区域(License plate recognition based on Python + opencv)
BlindWatermark
- 基于PYthon的盲水印实现，目前相对成熟，仔细校对过代码，对暴力破坏的图片依旧有良好的水印还原。该技术源码需要一定的PYthon基础才能使用，(The implementation of blind watermark based on Python is relatively mature at present. After carefully proofreading the code, there is still a good watermark restoration for the
字符识别孪生网络
- 运用孪生网络技术识别minst手写字符集并计算准确率(Identifying Minst Handwritten Character Set and Calculating Accuracy Using Twin Network Technology)
warp
- Python语言实现全景图拼接，识别特征，ransac提取，后拼接全景图(Python language achieves panorama mosaic, recognition features, RANSAC extraction, and then mosaic panorama)
5
- python实现双目立体匹配SGBM算法(SGBM algorithm for binocular stereo matching based on Python)
分布式tensorflow
- 1.使用distribute.py在分布式tensorflow中进行训练mnist模型 2.使用mnist_test.py进行测试模型，获取输出结果(1. Training MNIST model in distributed tensorflow using distribute.py 2. Use mnist_test.py to test the model and get the output results)
汪星人识别项目
- python语言，使用keras框架，用vgg16提取图片特征然后用全连接层分类(Python language, using keras framework, extracting image features with vgg16 and classifying with full connection layer)
Kirsch
- 用python语言实现对图像进行Kirsch八个方向的边缘检测，得到边缘图像。(Edge detection is carried out in eight directions of Kirsch to get edge image.)
ImageStich
- 基于OpenCV计算机视觉库，对进行全景图像拼接(Panoramic image mosaic based on OpenCV Computer Vision Library)
Brief
- python实现的运用brief算法提取特征点的图像拼接(The implementation of Python using brief algorithm to extract feature points of image mosaic)