===============课程介绍=============== 非常详细的OpenCV机器视觉实战课程,课程内容包括了计算机视觉基础,计算机深度学习,计算机图像分割、目标跟踪,中阶段计算机视觉,神经网络、CNN卷积神经网络进阶及实战等课程,课程还包括了学习的作业级讲解,非常的“保姆级”。 ===============课程目录=============== ├─cv核心-1-计算机视觉基础:基本图像处理.mp4 ├─cv核心-10-计算机视觉中的图像分类.mp4 ├─cv核心-11-深度学习之两阶段目标检测.mp4 ├─cv核心-12-深度学习之一阶段目标检测.mp4 ├─cv核心-13-计算机视觉中的图像分割.mp4 ├─cv核心-14-计算机视觉中的目标跟踪.mp4 ├─cv核心-15-课程知识点总结.mp4 ├─cv核心-2-中阶计算机视觉.mp4 ├─cv核心-3-初步认识机器学习.mp4 ├─cv核心-4-经典机器学习.mp4 ├─cv核心-5-神经网络与反向传播.mp4 ├─cv核心-6-详解CNN卷积神经网络part1原理篇.mp4 ├─cv核心-7-详解CNN卷积神经网络part2应用篇.mp4 ├─cv核心-8-详解CNN卷积神经网络part3实战细节篇.mp4 ├─cv核心-9-cuda编程.mp4 (1)\1.1 计算机视觉基础:基本图像处理;目录中文件数:2个 ├─CV核心基础WEEK1.docx ├─核心基础课week1 20200816.pdf (2)\10.1 计算机视觉中的图像分类;目录中文件数:2个 ├─week10.docx ├─核心基础课week10后20201101.pdf (3)\11.1 深度学习之两阶段目标检测;目录中文件数:2个 ├─week11.docx ├─核心基础课week11_20201108课后.pdf (4)\12.1 深度学习之一阶段目标检测;目录中文件数:2个 ├─核心基础课week11_20201108补充讲解vgg_bn.pdf ├─核心基础课week12-20201115发出.pdf (5)\13.1 计算机视觉中的图像分割;目录中文件数:2个 ├─week13.docx ├─核心基础课week13-图像分割设计方法20201122课后.pdf (6)\14.1 计算机视觉中的目标跟踪;目录中文件数:2个 ├─week14.docx ├─核心基础课week14-图像跟踪算法设计20201129.pdf (7)\15.1 课程知识点总结;目录中文件数:1个 ├─https.docx (8)\2.1 中阶计算机视觉;目录中文件数:2个 ├─week2 (1).docx ├─核心基础课week2-20200823发出.pdf (9)\3.1 初步认识机器学习;目录中文件数:2个 ├─week3.docx ├─核心基础课week3 20200830 发出.pdf (10)\4.1 经典机器学习;目录中文件数:2个 ├─week4 (1).docx ├─核心基础课week4 20200906课后.pdf (11)\5.1 神经网络与反向传播;目录中文件数:2个 ├─week5 (1).docx ├─核心基础课week5 20200913课后发出.pdf (12)\6.1 详解CNN卷积神经网络 part 1 原理篇;目录中文件数:2个 ├─week6.docx ├─核心基础课week6-20200920课后.pdf (13)\7.1 详解CNN卷积神经网络 part 2 应用篇;目录中文件数:2个 ├─week7.docx ├─核心基础课week7_2020-10-11课后.pdf (14)\8.1 详解CNN卷积神经网络 part 3 实战细节篇;目录中文件数:2个 ├─week8.docx ├─核心基础课week8-20201018课后.pdf (15)\9.1 cuda编程;目录中文件数:2个 ├─week9.docx ├─核心基础课week9 20201025课后.pdf (16)\作业答案;目录中文件数:0个 (17)\作业答案\week1;目录中文件数:0个 (18)\作业答案\week2;目录中文件数:0个 (19)\作业答案\week3;目录中文件数:0个 (20)\作业答案\week4;目录中文件数:0个 (21)\作业答案\week5;目录中文件数:0个 (22)\作业答案\week7;目录中文件数:1个 ├─week07.py (23)\作业答案\week8;目录中文件数:1个 ├─week8_homework.py (24)\作业答案\week1\1;目录中文件数:8个 ├─homework_zhangheng.py ├─watermark.png ├─week1_homework.png ├─各种滤波器的最佳结果.png ├─最佳结果.png ├─线性滤波结果.png ├─自定义卷积核滤波结果.png ├─非线性滤波结果.png (25)\作业答案\week1\2;目录中文件数:6个 ├─beauty-face.png ├─CV核心基础WEEK1.docx ├─homework_ray.png ├─week1_homework.png ├─week1_ray.ipynb ├─week1_ray.py (26)\作业答案\week1\3;目录中文件数:5个 ├─homework_processed.png ├─homework_processed_mask.png ├─homework_week1_huangchao.ipynb ├─mask1.png ├─week1_homework.png (27)\作业答案\week1\4;目录中文件数:10个 ├─img_bilateral.png ├─img_gaussian.png ├─img_mean.png ├─img_median.png ├─img_swf.png ├─main.py ├─side_window_filter.py ├─Watermark.png ├─week1_homework.png ├─__init__.py (28)\作业答案\week2\1;目录中文件数:1个 ├─homework.ipynb (29)\作业答案\week2\2;目录中文件数:1个 ├─名企班+week2+高桂春.ipynb (30)\作业答案\week2\3;目录中文件数:15个 ├─number_0.png ├─number_1.png ├─number_2.png ├─number_3.png ├─number_4.png ├─number_5.png ├─number_6.png ├─number_7.png ├─number_8.png ├─number_9.png ├─test_img_0.png ├─test_img_1.png ├─test_img_2.png ├─test_img_7.png ├─week2_homework.py (31)\作业答案\week2\4;目录中文件数:1个 ├─名企cv4-week2-张锐.ipynb (32)\作业答案\week3\1;目录中文件数:3个 ├─homework.py ├─loss.png ├─__init__.py (33)\作业答案\week3\2;目录中文件数:2个 ├─loss.png ├─核心+week3+蔡晨铃.ipynb (34)\作业答案\week3\3;目录中文件数:1个 ├─week3_homework.py (35)\作业答案\week4\1;目录中文件数:3个 ├─neural_network.py ├─train.py ├─__init__.py (36)\作业答案\week4\2;目录中文件数:1个 ├─pytorch_lenet_mnist.ipynb (37)\作业答案\week4\3;目录中文件数:4个 ├─acc.png ├─homework.py ├─loss.png ├─__init__.py (38)\作业答案\week4\4;目录中文件数:1个 ├─cv_home_work_zhangheng.py (39)\作业答案\week5\1;目录中文件数:0个 (40)\作业答案\week5\2;目录中文件数:4个 ├─hct66.py ├─kmeans.py ├─kmeanspp.py ├─mnist.py (41)\作业答案\week5\3;目录中文件数:1个 ├─week5_核心课_汪梓玉.ipynb (42)\作业答案\week5\4;目录中文件数:5个 ├─hct66.py ├─kmeans.py ├─kmeanspp.py ├─mnist.py ├─__init__.py (43)\作业答案\week1\2\_ipynb_checkpoints;目录中文件数:1个 ├─week1_ray-checkpoint.ipynb (44)\作业答案\week1\3\_ipynb_checkpoints;目录中文件数:1个 ├─homework_week1_huangchao-checkpoint.ipynb (45)\作业答案\week1\4\新建文件夹;目录中文件数:5个 ├─img_bilateral.png ├─img_gaussian.png ├─img_mean.png ├─img_median.png ├─img_swf.png (46)\作业答案\week2\1\_ipynb_checkpoints;目录中文件数:1个 ├─homework-checkpoint.ipynb (47)\作业答案\week2\2\_ipynb_checkpoints;目录中文件数:1个 ├─名企班+week2+高桂春-checkpoint.ipynb (48)\作业答案\week2\4\my;目录中文件数:8个 ├─2828_my_own_2.png ├─2828_my_own_3.png ├─2828_my_own_4.png ├─2828_my_own_5.png ├─2828_my_own_6.png ├─2828_my_own_image.png ├─2828_my_own_noisy_6.png ├─mnist_train_100.csv (49)\作业答案\week2\4\_ipynb_checkpoints;目录中文件数:1个 ├─名企cv4-week2-张锐-checkpoint.ipynb (50)\作业答案\week3\2\_ipynb_checkpoints;目录中文件数:1个 ├─核心+week3+蔡晨铃-checkpoint.ipynb (51)\作业答案\week4\1\figure;目录中文件数:2个 ├─accuracy.png ├─loss.png (52)\作业答案\week4\2\_ipynb_checkpoints;目录中文件数:1个 ├─pytorch_lenet_mnist-checkpoint.ipynb (53)\作业答案\week4\3\dataset;目录中文件数:1个 ├─mnist_dataset.py (54)\作业答案\week5\1\week5;目录中文件数:3个 ├─hct66.py ├─kmeanspp.py ├─__init__.py (55)\作业答案\week5\3\_ipynb_checkpoints;目录中文件数:1个 ├─week5_核心课_汪梓玉-checkpoint.ipynb |
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