From 2b751c7129b49b41dacc889547ce6933631a8991 Mon Sep 17 00:00:00 2001 From: feilong Date: Sat, 26 Mar 2022 01:23:27 +0800 Subject: [PATCH] fix img bug --- .../deep_learning_object_detection.md" | 2 +- .../output.jpg" | Bin 0 -> 373232 bytes .../01.jpg" | Bin 0 -> 442726 bytes .../detect_faces.md" | 2 +- .../attitude_estimation.md" | 2 +- .../pose_tracking_full_body_landmarks.png" | Bin 0 -> 123013 bytes 6 files changed, 3 insertions(+), 3 deletions(-) create mode 100644 "data/1.OpenCV\345\210\235\351\230\266/2.OpenCV\344\270\255\347\232\204\346\267\261\345\272\246\345\255\246\344\271\240/2.\347\233\256\346\240\207\346\243\200\346\265\213/output.jpg" create mode 100644 "data/1.OpenCV\345\210\235\351\230\266/2.OpenCV\344\270\255\347\232\204\346\267\261\345\272\246\345\255\246\344\271\240/3.\344\272\272\350\204\270\346\243\200\346\265\213/01.jpg" create mode 100644 "data/1.OpenCV\345\210\235\351\230\266/2.OpenCV\344\270\255\347\232\204\346\267\261\345\272\246\345\255\246\344\271\240/4.\345\247\277\346\200\201\344\274\260\350\256\241/pose_tracking_full_body_landmarks.png" diff --git "a/data/1.OpenCV\345\210\235\351\230\266/2.OpenCV\344\270\255\347\232\204\346\267\261\345\272\246\345\255\246\344\271\240/2.\347\233\256\346\240\207\346\243\200\346\265\213/deep_learning_object_detection.md" "b/data/1.OpenCV\345\210\235\351\230\266/2.OpenCV\344\270\255\347\232\204\346\267\261\345\272\246\345\255\246\344\271\240/2.\347\233\256\346\240\207\346\243\200\346\265\213/deep_learning_object_detection.md" index b65b760..1a42c27 100644 --- "a/data/1.OpenCV\345\210\235\351\230\266/2.OpenCV\344\270\255\347\232\204\346\267\261\345\272\246\345\255\246\344\271\240/2.\347\233\256\346\240\207\346\243\200\346\265\213/deep_learning_object_detection.md" +++ "b/data/1.OpenCV\345\210\235\351\230\266/2.OpenCV\344\270\255\347\232\204\346\267\261\345\272\246\345\255\246\344\271\240/2.\347\233\256\346\240\207\346\243\200\346\265\213/deep_learning_object_detection.md" @@ -4,7 +4,7 @@ 我已经实现了模型加载和预测的代码,但是如何将结果取出来并绘制到图片上呢?如下图: -![output](https://gitee.com/wanghao1090220084/cloud-image/raw/master/output.jpg) +![](https://gitcode.net/csdn/skill_tree_opencv/-/raw/master/data/1.OpenCV初阶/2.OpenCV中的深度学习/2.目标检测/output.jpg) **框架代码**: diff --git "a/data/1.OpenCV\345\210\235\351\230\266/2.OpenCV\344\270\255\347\232\204\346\267\261\345\272\246\345\255\246\344\271\240/2.\347\233\256\346\240\207\346\243\200\346\265\213/output.jpg" "b/data/1.OpenCV\345\210\235\351\230\266/2.OpenCV\344\270\255\347\232\204\346\267\261\345\272\246\345\255\246\344\271\240/2.\347\233\256\346\240\207\346\243\200\346\265\213/output.jpg" new file mode 100644 index 0000000000000000000000000000000000000000..8aabb5b8b14ecd3159d497d75d289045e1e4df42 GIT binary patch literal 373232 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zIhbq}<-Rlc!qaPQV`+8!ve?KqpRhMt#s@Cg{|pj+^^lMwa#hH-2d4s`?*H| literal 0 HcmV?d00001 diff --git "a/data/1.OpenCV\345\210\235\351\230\266/2.OpenCV\344\270\255\347\232\204\346\267\261\345\272\246\345\255\246\344\271\240/3.\344\272\272\350\204\270\346\243\200\346\265\213/detect_faces.md" "b/data/1.OpenCV\345\210\235\351\230\266/2.OpenCV\344\270\255\347\232\204\346\267\261\345\272\246\345\255\246\344\271\240/3.\344\272\272\350\204\270\346\243\200\346\265\213/detect_faces.md" index bbaef29..5b1d973 100644 --- "a/data/1.OpenCV\345\210\235\351\230\266/2.OpenCV\344\270\255\347\232\204\346\267\261\345\272\246\345\255\246\344\271\240/3.\344\272\272\350\204\270\346\243\200\346\265\213/detect_faces.md" +++ "b/data/1.OpenCV\345\210\235\351\230\266/2.OpenCV\344\270\255\347\232\204\346\267\261\345\272\246\345\255\246\344\271\240/3.\344\272\272\350\204\270\346\243\200\346\265\213/detect_faces.md" @@ -3,7 +3,7 @@ 早在 2017 年 8 月,OpenCV 3.3 正式发布,带来了高度改进的“深度神经网络”(dnn)模块。 该模块支持多种深度学习框架,包括 Caffe、TensorFlow 和 Torch/PyTorch。OpenCV 的官方版本中包含了一个更准确、基于深度学习的人脸检测器,链接:https://github.com/opencv/opencv/tree/4.x/samples/dnn/face_detector。 我已经实现了模型加载和预测的代码,但是如何将结果取出来并绘制到图片上呢?如下图: -![01](https://gitee.com/wanghao1090220084/cloud-image/raw/master/01.jpg) +![](https://gitcode.net/csdn/skill_tree_opencv/-/raw/master/data/1.OpenCV初阶/2.OpenCV中的深度学习/3.人脸检测/01.jpg) 遍历代码的逻辑如下: diff --git "a/data/1.OpenCV\345\210\235\351\230\266/2.OpenCV\344\270\255\347\232\204\346\267\261\345\272\246\345\255\246\344\271\240/4.\345\247\277\346\200\201\344\274\260\350\256\241/attitude_estimation.md" "b/data/1.OpenCV\345\210\235\351\230\266/2.OpenCV\344\270\255\347\232\204\346\267\261\345\272\246\345\255\246\344\271\240/4.\345\247\277\346\200\201\344\274\260\350\256\241/attitude_estimation.md" index 5c8018d..f32504d 100644 --- "a/data/1.OpenCV\345\210\235\351\230\266/2.OpenCV\344\270\255\347\232\204\346\267\261\345\272\246\345\255\246\344\271\240/4.\345\247\277\346\200\201\344\274\260\350\256\241/attitude_estimation.md" +++ "b/data/1.OpenCV\345\210\235\351\230\266/2.OpenCV\344\270\255\347\232\204\346\267\261\345\272\246\345\255\246\344\271\240/4.\345\247\277\346\200\201\344\274\260\350\256\241/attitude_estimation.md" @@ -22,7 +22,7 @@ Media Pipe Pose是用于高保真人体姿势跟踪的框架,该框架从RGB 模型可以预测33个关键点,如下图: -![img](https://gitee.com/wanghao1090220084/cloud-image/raw/master/pose_tracking_full_body_landmarks.png) +![](https://gitcode.net/csdn/skill_tree_opencv/-/raw/master/data/1.OpenCV初阶/2.OpenCV中的深度学习/4.姿态估计/pose_tracking_full_body_landmarks.png) 我们使用OpenCV+mediapipe实现姿态估计,我已经实现了代码,请大家找出能够正确执行的代码! diff --git "a/data/1.OpenCV\345\210\235\351\230\266/2.OpenCV\344\270\255\347\232\204\346\267\261\345\272\246\345\255\246\344\271\240/4.\345\247\277\346\200\201\344\274\260\350\256\241/pose_tracking_full_body_landmarks.png" 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