资源列表
七段数码管
- 使用python显示七段数码管。显示当前时间信息(use python to show the time)
parallel_ptav_v1
- 利用fDSST和SNET相结合的方法实现对目标的跟踪，且具有较高的识别率，具有速度快、精度高的特点。(The method combining fDSST and SNET is used to realize the tracking of target, and it has fast speed and high precision)
VB验证码识别程序
- 可以识别简单的验证码，基于点阵的判断，复杂的识别不了(Can identify simple verification code, based on lattice judgment, complex identification can not)
BP
- 分别对有随机噪声和无噪声的16进制数字进行学习，最后达到精准识别的效果(Respectively, the random noise and noise free 16 digit learning, and finally to achieve accurate identification results)
chapter1
- 识别数字，实现手写数字的自动识别，节省人力(recognizeRecognition of numbers, automatic recognition of handwritten numerals, and manpower saving)
OCR
- 程序实现了字符识别，内部包含详细说明，按照说明安装运行(it can run, it is ocr method)
codes
- 2017年数学建模A题程序，1，2，3题的源代码(2017 mathematical modeling A problem procedures)
python
- 载入caffe模型并输出结果，显示分类概率(Load the Caffe model and output the results)
LPR
- 提供一种最基础的车牌识别程序，需进行以下几个基本的步骤：车牌图像预处理；车牌定位，定位图片中的车牌位置；车牌字符分割，把车牌中的字符分割出来；车牌字符识别，把分割好的字符进行识别，最终组成车牌号码。(To provide a basic license plate recognition program, the following basic steps need to be carried out: image preprocessing of license plate; Location
识别模块
- 易语言验证码识别代码，仅供参考，多给建议(Easy language code identification code, for reference purposes only, give more advice)
Lucas_Kanade
- 光流法提取动态背景前景目标，具有良好的抗噪和抗干扰能力。(Optical flow extraction of dynamic background prospects, with good anti-noise and anti-jamming capability.)
charSamples
- ann数字识别，对于初学者有一定的帮助，对图像处理有一定的帮助(Ann digital recognition)