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Title: GitHub - bingothreed/BlogLearning: 自己的学习历程,重点包括各种好玩的图像处理算法、运动捕捉、机器学习 · GitHub

Open Graph Title: GitHub - bingothreed/BlogLearning: 自己的学习历程,重点包括各种好玩的图像处理算法、运动捕捉、机器学习

X Title: GitHub - bingothreed/BlogLearning: 自己的学习历程,重点包括各种好玩的图像处理算法、运动捕捉、机器学习

Description: 自己的学习历程,重点包括各种好玩的图像处理算法、运动捕捉、机器学习. Contribute to bingothreed/BlogLearning development by creating an account on GitHub.

Open Graph Description: 自己的学习历程,重点包括各种好玩的图像处理算法、运动捕捉、机器学习. Contribute to bingothreed/BlogLearning development by creating an account on GitHub.

X Description: 自己的学习历程,重点包括各种好玩的图像处理算法、运动捕捉、机器学习. Contribute to bingothreed/BlogLearning development by creating an account on GitHub.

Opengraph URL: https://github.com/bingothreed/BlogLearning

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代码https://github.com/1165048017/BlogLearning/tree/master/Blendshapes/StrongtrackAnalysis
理论https://mp.weixin.qq.com/s?__biz=MzU1NzU2MzcyMw==&mid=2247484305&idx=1&sn=9f4f25d825a168598945e777d76cbbdf&chksm=fc32a9b5cb4520a3eb1ddb5fd781c37bcd69dbec88e5bfa6ef7d0d537403eac4d12d630fa91e&token=790768732&lang=zh_CN#rd
https://camo.githubusercontent.com/311c6b617b87b77ef7ce2426fd46477cb70414c0cf77908eacc1de2eb686c792/68747470733a2f2f6d6d62697a2e717069632e636e2f6d6d62697a5f706e672f65396c416d596f6c7a367977666b5663544a39746f4471426a59783069616f32414b6f5941446d423936644b7236717344526f396c34326f634135374b4d69624436355a774a53345a6f78787342306e79743771396f72672f3634303f77785f666d743d706e672674703d7765627026777866726f6d3d352677785f6c617a793d312677785f636f3d31
https://github.com/bingothreed/BlogLearning#表情驱动二基于网格形变迁移
代码https://github.com/1165048017/BlogLearning/tree/master/deformation_transfer
理论http://mp.weixin.qq.com/s?__biz=MzU1NzU2MzcyMw==&mid=2247484459&idx=1&sn=e60ea4bb23f00cf0e34c46548cea3ea5&chksm=fc32ae0fcb452719f2c89b6782e4720ba0ee6dace311e92f6659d9bc3a2426e47548b89b8883&token=833214437&lang=zh_CN#rd
https://camo.githubusercontent.com/6d1ffb1535d4afdd8fc5b0c2e464c37819d509375e32989fd590378055756b3f/68747470733a2f2f6d6d62697a2e717069632e636e2f6d6d62697a5f706e672f65396c416d596f6c7a36797768714244316962595a7a66544e6845506b317a6c34584b56344963324569636b4378467432466c387051676e36656d666670393234336a366e6963464a64614131396f4c4a673264784d5862412f3634303f77785f666d743d706e672674703d7765627026777866726f6d3d352677785f6c617a793d312677785f636f3d31
https://camo.githubusercontent.com/b2308a368cfe7256b1e622dafefcbd1a6b25376b3988783b0ecd4160ab866b57/68747470733a2f2f6d6d62697a2e717069632e636e2f6d6d62697a5f706e672f65396c416d596f6c7a36797768714244316962595a7a66544e6845506b317a6c3455766b595139386961657236503853506332626961634e345937586f5a434535343431663753305a5759786b763649596963696366726a494d672f3634303f77785f666d743d706e672674703d7765627026777866726f6d3d352677785f6c617a793d312677785f636f3d31
https://github.com/bingothreed/BlogLearning#openvino道路分割
代码https://github.com/1165048017/BlogLearning/tree/master/OpenVINO
理论https://mp.weixin.qq.com/s?__biz=MzU1NzU2MzcyMw==&mid=2247484027&idx=1&sn=d2471bd2adbe16a8367969089e900e10&chksm=fc32a85fcb452149ecaf59540fc5ec53365904425e937845238ab00e39b21fb941ed750e737f&token=826172642&lang=zh_CN#rd
https://camo.githubusercontent.com/9694e01d225fa1031b009a6a480cdb5e9f084ad3af0ed0c1b13a79986ebc4e0c/68747470733a2f2f6d6d62697a2e717069632e636e2f6d6d62697a5f706e672f65396c416d596f6c7a36796e587258444b7569634153324e72395056564454346e524e536462434e4e65527a6c30755a554a43646d6b4e68743434505334617247496833786255795174495557373066337641484b65412f3634303f77785f666d743d706e672674703d7765627026777866726f6d3d352677785f6c617a793d312677785f636f3d31
https://github.com/bingothreed/BlogLearning#拉普拉斯锐化
代码https://github.com/1165048017/BlogLearning/tree/master/sharpenImage
理论https://mp.weixin.qq.com/s?__biz=MzU1NzU2MzcyMw==&mid=2247483842&idx=1&sn=9b002f34f265b7f036567c6de7aab330&chksm=fc32abe6cb4522f09c8c42494dbe9a0f0072b1404bd0a524e1e209c32377e973c313669121d6&token=2041151839&lang=zh_CN#rd
https://camo.githubusercontent.com/d6d480aaf5edbd3b36ec6a3d154d3c8bff1bd64138378671fe3906206ef26a4f/68747470733a2f2f6d6d62697a2e717069632e636e2f6d6d62697a5f706e672f65396c416d596f6c7a36784d4a784b42744a393367453730586c76354f75674f64395443683844393036483644636f6f71564631543561553171796d5678764433596747307166474a386a78663374696330307769615a512f3634303f77785f666d743d706e672674703d7765627026777866726f6d3d352677785f6c617a793d312677785f636f3d31
https://camo.githubusercontent.com/793c206cb182ba8ef2e21af5ceb68d9cba6f4ca5197d0e28e82b690be611eacc/68747470733a2f2f6d6d62697a2e717069632e636e2f6d6d62697a5f706e672f65396c416d596f6c7a36784d4a784b42744a393367453730586c76354f75674f493034434841773575616a4544344e417154765a46745131396454726a36704d5650553436494468526e753058376f414f4a703243772f3634303f77785f666d743d706e672674703d7765627026777866726f6d3d352677785f6c617a793d312677785f636f3d31
https://github.com/bingothreed/BlogLearning#颜色协调模型
代码https://github.com/1165048017/BlogLearning/tree/master/ColorHarmonization
理论https://mp.weixin.qq.com/s?__biz=MzU1NzU2MzcyMw==&mid=2247483818&idx=1&sn=70a9b8fd98a9f5f753cf40f3bd940348&chksm=fc32ab8ecb452298121860a9e3d584e04f80de37d8ab287d799eeccb1318ffd6d57bb34581b1&token=2041151839&lang=zh_CN#rd
https://camo.githubusercontent.com/3a53af69b7b228637305dd91b1a8190e1f74b600d63e5a697581f08321b91bf4/68747470733a2f2f6d6d62697a2e717069632e636e2f6d6d62697a5f706e672f65396c416d596f6c7a367947626c30316a6776574c654d34673073435a6c6c7875655779644f7931786f334f57446d634762684e73765150706466656b44775472746f6a48684f7a71316374744653396143577475512f303f77785f666d743d706e67
https://github.com/bingothreed/BlogLearning#颜色迁移
代码https://github.com/1165048017/BlogLearning/tree/master/ColorTransfer
理论https://mp.weixin.qq.com/s?__biz=MzU1NzU2MzcyMw==&mid=2247484038&idx=1&sn=6a9a21b5616011ffd4ba53cf37bfe23b&chksm=fc32a8a2cb4521b4e3c92fa58f52e1d8ab4f3fad033bcade9cd92c5384b3655394e685b7071c&token=912918227&lang=zh_CN#rd
https://camo.githubusercontent.com/1f3d3943caaaa428e83561d29ce730c7573b24d6297528046ad8aaac2069d889/68747470733a2f2f6d6d62697a2e717069632e636e2f6d6d62697a5f706e672f65396c416d596f6c7a36793634714c597345354171594b4f4f6b6736764f4c5667726b4d5a70795a3443484d57427952364a4c36773773377765613262756e79666576434f4f4168323234646b69636451335867376b772f3634303f77785f666d743d706e672674703d7765627026777866726f6d3d352677785f6c617a793d312677785f636f3d31
https://camo.githubusercontent.com/ba09783bd38f00c53c0029393d2dbc33c5901548d4fdd811f3016d10f6b32c51/68747470733a2f2f6d6d62697a2e717069632e636e2f6d6d62697a5f706e672f65396c416d596f6c7a36793634714c597345354171594b4f4f6b6736764f4c56677a52696141475774513756547344306d5153685673513643545854453479374769634b3245376f753775673732696136646f6f6d743341772f3634303f77785f666d743d706e672674703d7765627026777866726f6d3d352677785f6c617a793d312677785f636f3d31
https://camo.githubusercontent.com/1a4a0430348f5bac5695216908981123870e819660bfd1302ef66295c5cc65a0/68747470733a2f2f6d6d62697a2e717069632e636e2f6d6d62697a5f706e672f65396c416d596f6c7a36793634714c597345354171594b4f4f6b6736764f4c56676e6736594c3476467143583951756556715a785a725442366469625273425477444a663532725a586d324334686b70344f67763871672f3634303f77785f666d743d706e672674703d7765627026777866726f6d3d352677785f6c617a793d312677785f636f3d31
https://github.com/bingothreed/BlogLearning#动态时间规整
代码https://github.com/1165048017/BlogLearning/tree/master/DTW
理论https://mp.weixin.qq.com/s?__biz=MzU1NzU2MzcyMw==&mid=2247483836&idx=1&sn=cb31e3c8b4e256c1b6e0998d075008c7&chksm=fc32ab98cb45228e5ad1f1f44f62a6e7b0f3be18f0860a85f181df4bf31ab89620269e2796ab&token=2041151839&lang=zh_CN#rd
https://camo.githubusercontent.com/7e6b3c110a151c51e2d4a9f1998b7d37acde5fad0181f3b92a0b2c4f98e33911/68747470733a2f2f6d6d62697a2e717069632e636e2f6d6d62697a5f706e672f65396c416d596f6c7a36784d4a784b42744a393367453730586c76354f75674f45365749326b4e51645051533754415675454269614e5041496d4d4f706734467a3437327a735168366b69614f5a474361706a614e6e6c412f3634303f77785f666d743d706e672674703d7765627026777866726f6d3d352677785f6c617a793d312677785f636f3d31
https://github.com/bingothreed/BlogLearning#傅立叶变换和频谱分析
代码https://github.com/1165048017/BlogLearning/tree/master/FFT
离散傅里叶变换https://mp.weixin.qq.com/s?__biz=MzU1NzU2MzcyMw==&mid=2247483945&idx=1&sn=1c986b4e4893c2c6368e0b97e693e053&chksm=fc32a80dcb45211b1b4be700e38736ce2003d3852c07c23670230067484ac7d5510d0ea85c8d&token=2041151839&lang=zh_CN#rd
短时傅里叶变换http://mp.weixin.qq.com/s?__biz=MzU1NzU2MzcyMw==&mid=2247483949&idx=1&sn=a2c540310f3bb519f7ed84c225979336&chksm=fc32a809cb45211f1e934b90d384a4f07ac16b3ea16b89e120e411c4f3a5776bc9f631ea60f8&token=2041151839&lang=zh_CN#rd
https://camo.githubusercontent.com/50232e9d4afbb5e11a7e7f49a034da7e8dcf3809caa9457b10940f94c0e0ca80/68747470733a2f2f6d6d62697a2e717069632e636e2f6d6d62697a5f706e672f65396c416d596f6c7a36784f6e33516b396c4230534a396a67386a6a514577676d7a5a664b346f5861425737346e4e31663149585943577543664f7944514466566c32736c615237466f4b3774715069634d4c33346a512f3634303f77785f666d743d706e672674703d7765627026777866726f6d3d352677785f6c617a793d312677785f636f3d31
https://github.com/bingothreed/BlogLearning#2d人脸替换
代码https://github.com/1165048017/BlogLearning/tree/master/FaceSwap_2D
眼鼻口替换http://mp.weixin.qq.com/s?__biz=MzU1NzU2MzcyMw==&mid=2247483874&idx=1&sn=6af88d60a6d37074eb9fe5f4ade98a8a&chksm=fc32abc6cb4522d0be31c0dc05c85020a76cca97e1c2f542761e52e2dd39cea2aa92f6d24146&token=2041151839&lang=zh_CN#rd
整脸替换http://mp.weixin.qq.com/s?__biz=MzU1NzU2MzcyMw==&mid=2247483883&idx=1&sn=32c89b7c8498f008a06db46be12a354c&chksm=fc32abcfcb4522d9754936fad132170175803944f8e11b2d13b0cf80224301e18ef0d6762d2d&token=2041151839&lang=zh_CN#rd
https://camo.githubusercontent.com/d9edb394b17d9d15c19d4c63b26fbda823187ec964c965e16cd7b48323d1cfce/68747470733a2f2f6d6d62697a2e717069632e636e2f6d6d62697a5f706e672f65396c416d596f6c7a367a4b7470736b46375431725a7074696352494f64443446597059376e5172666854557a4641696266664246496b6e4e7979327341654669624b3241346169614650396b6f39754767696165696353376647672f3634303f77785f666d743d706e672674703d7765627026777866726f6d3d352677785f6c617a793d312677785f636f3d31
https://github.com/bingothreed/BlogLearning#3d人脸替换
代码https://github.com/1165048017/BlogLearning/tree/master/PRNet_faceswap
理论https://mp.weixin.qq.com/s?__biz=MzU1NzU2MzcyMw==&mid=2247483891&idx=1&sn=a0c658e02bb634d2ef3e1a94607537ca&chksm=fc32abd7cb4522c143d63ffd15e3950ffc2679995d076b9819052367f7428cca82bba52c897c&token=2041151839&lang=zh_CN#rd
https://camo.githubusercontent.com/cb756da38671b61303c7390a8b02751c9d03ef14a56cb3469564d5c9a0bc61a6/68747470733a2f2f6d6d62697a2e717069632e636e2f6d6d62697a5f706e672f65396c416d596f6c7a367a56447677496c65696378504833356a42754e6f755053696135543069624779444c78486b704a4f716568696270716b6a6e6d6a314b4b3476614946334e6e696341615273506a3558416767424b6b71512f3634303f77785f666d743d706e672674703d7765627026777866726f6d3d352677785f6c617a793d312677785f636f3d31
https://github.com/bingothreed/BlogLearning#头部姿态估计
代码https://github.com/1165048017/BlogLearning/tree/master/OpenCV/HeadPose
理论https://mp.weixin.qq.com/s?__biz=MzU1NzU2MzcyMw==&mid=2247484341&idx=1&sn=486a590321a2d3b2180d2ba8cffb939e&chksm=fc32a991cb4520876778d3744bb1fda78c243a15be21c3186323d575862105bdc28033a01ba5&token=790768732&lang=zh_CN#rd
https://camo.githubusercontent.com/15bd0e5e1c48e8f48ebbb5b802014b53971dc54b3a20165c911c12f210b6c3f0/68747470733a2f2f6d6d62697a2e717069632e636e2f6d6d62697a5f706e672f65396c416d596f6c7a367a713649756f453557506c7049765a3838584c6f6961326d71314f446c4c4b58426b65475a67446d36734b356c4e574565674939594e47736b72374f763536414661726247657a4c6961434136512f3634303f77785f666d743d706e672674703d7765627026777866726f6d3d352677785f6c617a793d312677785f636f3d31
https://github.com/bingothreed/BlogLearning#opencv轮廓检测
代码https://github.com/1165048017/BlogLearning/tree/master/OpenCV/contours
理论https://mp.weixin.qq.com/s?__biz=MzU1NzU2MzcyMw==&mid=2247484137&idx=1&sn=4dbec20bbd711dac52cbc5597421f6ae&chksm=fc32a8cdcb4521db470b36b40e98a710dc2743c163894a0e2d75c96008d60d0220e03c2a2394&token=1146064727&lang=zh_CN#rd
https://camo.githubusercontent.com/0ea84f4d524be958f1f69ce4f55b0848997b71c856a7e93a3b62f76cbbdbffba/68747470733a2f2f6d6d62697a2e717069632e636e2f6d6d62697a5f706e672f65396c416d596f6c7a367a333552744a6961616469625a4467526d476d446f5352363662616d366332357568444c35364263327a5a6e3642747236344957453053666c306d69626b4b69616570387066736844436e6269615739412f3634303f77785f666d743d706e672674703d7765627026777866726f6d3d352677785f6c617a793d312677785f636f3d31
https://github.com/bingothreed/BlogLearning#形态学
代码https://github.com/1165048017/BlogLearning/tree/master/OpenCV/Morphological
理论https://mp.weixin.qq.com/s?__biz=MzU1NzU2MzcyMw==&mid=2247484188&idx=1&sn=30ffb437233f913692dbc01ff8472ff3&chksm=fc32a938cb45202eff17b7f9123c50d18099847c2ae53f3b489bba592224b3be868809fd66e2&token=452754261&lang=zh_CN#rd
https://camo.githubusercontent.com/d20a597556196774d813e951563f3ade55edc06056112ee42e5f15db4be94fbd/68747470733a2f2f6d6d62697a2e717069632e636e2f6d6d62697a5f706e672f65396c416d596f6c7a367978304d4842666469626d417353336b4f7a6c7944395a754c4e567a356a4f784a665734555372705131345a7131757354636c614674696277786a72726963747a696156726738786c4f76536e395a772f3634303f77785f666d743d706e672674703d7765627026777866726f6d3d352677785f6c617a793d312677785f636f3d31
https://github.com/bingothreed/BlogLearning#仿射变换和透视变换
代码https://github.com/1165048017/BlogLearning/tree/master/OpenCV/transform
理论https://mp.weixin.qq.com/s?__biz=MzU1NzU2MzcyMw==&mid=2247484096&idx=1&sn=b5c0ae895b0ea8b8c36474061615db6a&chksm=fc32a8e4cb4521f2806c9011f36416c30df28e4ebdbe50f62bdd2a5a3187dc2dc315faec7d6e&token=1146064727&lang=zh_CN#rd
https://camo.githubusercontent.com/29671359912b72c8ecfff946fb15a8b1c38276ba2bdbcb71230eeeb6b5cbc0b1/68747470733a2f2f6d6d62697a2e717069632e636e2f6d6d62697a5f706e672f65396c416d596f6c7a36793835346962666d476d554d5a4b69624374496b30546e57737736614d4d6e4a594a63443058564b455333696145555244515956336674474738426f33337057364a316a6249513431306461724b512f3634303f77785f666d743d706e672674703d7765627026777866726f6d3d352677785f6c617a793d312677785f636f3d31
https://github.com/bingothreed/BlogLearning#基于高反差保留的高通滤波磨皮祛斑
代码https://github.com/1165048017/BlogLearning/tree/master/HighPassSkinSmoothing
理论http://mp.weixin.qq.com/s?__biz=MzU1NzU2MzcyMw==&mid=2247484017&idx=1&sn=979680d6d92ef8fa3a9cbd95295881e0&chksm=fc32a855cb452143cbabf1b576625d7a7e5ce03e6fbf4ed1cb34660060571db7aeaa4cfa724c&token=2041151839&lang=zh_CN#rd
https://camo.githubusercontent.com/3a3ef625cf5c0874657bf6d066fb9651f848016350d5e987a08ca51e3618c63c/68747470733a2f2f6d6d62697a2e717069632e636e2f6d6d62697a5f706e672f65396c416d596f6c7a36776269616144444e424c304e6f6e66564f3030767351386669633547654b6d6b4d474652364d62647557363930504d47366a52636766686b7a6d6d73415a4577496c69624837524442585376696344512f3634303f77785f666d743d706e672674703d7765627026777866726f6d3d352677785f6c617a793d312677785f636f3d31
https://github.com/bingothreed/BlogLearning#素描滤镜
代码https://github.com/1165048017/BlogLearning/tree/master/PSPencilDraw
理论https://mp.weixin.qq.com/s?__biz=MzU1NzU2MzcyMw==&mid=2247484007&idx=1&sn=acb19d4c52891021f46fd6ecc167bf99&chksm=fc32a843cb452155e2dd23a92b6613af47e854c0bd6e19a5a58912d0a5dac25faaa9b3901a6c&token=2041151839&lang=zh_CN#rd
https://camo.githubusercontent.com/20176c7eef57c8cf8d1c7938deb6b2dcbccf99b0265a735bf8fd947d16699c01/68747470733a2f2f6d6d62697a2e717069632e636e2f6d6d62697a5f706e672f65396c416d596f6c7a367a7336635a517234716e6b546a4b34636b7543787a62465a6b5551304d6650724743356b376c3141556d4557554f78346e6c435a777a5942676446564d5432485269614174475a3462575953512f3634303f77785f666d743d706e672674703d7765627026777866726f6d3d352677785f6c617a793d312677785f636f3d31
https://github.com/bingothreed/BlogLearning#表情驱动
代码https://github.com/1165048017/BlogLearning/tree/master/expression_driven
理论https://mp.weixin.qq.com/s?__biz=MzU1NzU2MzcyMw==&mid=2247483973&idx=1&sn=9217e41476f5de1507e0f71838535553&chksm=fc32a861cb4521776e68a4e65420dfbab6fa3ad800e22fd5333b7ddca4500b02359d9765de0d&token=2041151839&lang=zh_CN#rd
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https://github.com/bingothreed/BlogLearning#主成分分析
代码https://github.com/1165048017/BlogLearning/tree/master/PCA
理论https://mp.weixin.qq.com/s?__biz=MzU1NzU2MzcyMw==&mid=2247483897&idx=1&sn=335fee084e249a870844f7da86a6fabc&chksm=fc32abddcb4522cbd0d88e307cf775552f143231b6f6a14bd69ba6a25839bd997e1ac4941d7f&token=2041151839&lang=zh_CN#rd
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https://github.com/bingothreed/BlogLearning#独立成分分析
代码https://github.com/1165048017/BlogLearning/tree/master/ICA
理论http://mp.weixin.qq.com/s?__biz=MzU1NzU2MzcyMw==&mid=2247483800&idx=1&sn=ec129a05c1c7b84b1fd71fcf47dcdb11&chksm=fc32abbccb4522aaafc45bd10ceef121decf1f42665aef11963ac33d2eb67c4a3c264fb6ac6c&token=2041151839&lang=zh_CN#rd
https://github.com/bingothreed/BlogLearning#聚类算法k-means
代码https://github.com/1165048017/BlogLearning/tree/master/k-means
理论https://mp.weixin.qq.com/s?__biz=MzU1NzU2MzcyMw==&mid=2247483919&idx=1&sn=25db17fb4eaf2334448a166683ea17c0&chksm=fc32a82bcb45213d1b2a56b9b2726d4c79b90f1cb2d95a58f31e894d3d8bc9711f04fa37ef2d&token=2041151839&lang=zh_CN#rd
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https://github.com/bingothreed/BlogLearning#线性回归
代码https://github.com/1165048017/BlogLearning/tree/master/Linear%20regression
理论https://mp.weixin.qq.com/s?__biz=MzU1NzU2MzcyMw==&mid=2247483846&idx=1&sn=b1aa2ab4165cce3a80eb399a6b7b0fbe&chksm=fc32abe2cb4522f41fba3920c8f7f1bfafea55274081983c868cf7156e604cb81490f092ea06&token=2041151839&lang=zh_CN#rd
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https://github.com/bingothreed/BlogLearning#logistic回归
代码https://github.com/1165048017/BlogLearning/tree/master/logistic%20regression
理论https://mp.weixin.qq.com/s?__biz=MzU1NzU2MzcyMw==&mid=2247483852&idx=1&sn=be84a7e08e881c98d21aad15d9e2ba7d&chksm=fc32abe8cb4522fe1a4c6f93aad3d9c307a16fb6db3519bfea8ab03dbb5e94e35ce0f656e9ee&token=2041151839&lang=zh_CN#rd
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https://github.com/bingothreed/BlogLearning#rbf神经网络分类
代码https://github.com/1165048017/BlogLearning/tree/master/RBF/RBFClassify
理论https://mp.weixin.qq.com/s?__biz=MzU1NzU2MzcyMw==&mid=2247484191&idx=1&sn=760e35248ca3b3a1c39855be9e5199fa&chksm=fc32a93bcb45202d83a14b361499734129e507346189a09c4961dd1fd3a94ff545e1f66baddd&token=228729342&lang=zh_CN#rd
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https://github.com/bingothreed/BlogLearning#样条插值
代码https://github.com/1165048017/BlogLearning/tree/master/splineinterp
理论https://mp.weixin.qq.com/s?__biz=MzU1NzU2MzcyMw==&mid=2247483793&idx=1&sn=dd2c3ed20c192f3d748a84b7e51ee628&chksm=fc32abb5cb4522a308959890a94d81151fa594b36f0a788377da366c439046cda9160d50b3c8&token=2041151839&lang=zh_CN#rd
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https://github.com/bingothreed/BlogLearning#四元数插值
代码https://github.com/1165048017/BlogLearning/tree/master/MotionInterpolation
理论https://mp.weixin.qq.com/s?__biz=MzU1NzU2MzcyMw==&mid=2247483923&idx=1&sn=c9f98ed3b258cee996a7ad124fc96675&chksm=fc32a837cb4521215732ad386dda923c45108dad78a5219c8129e725e51241a8916650d99703&token=2041151839&lang=zh_CN#rd
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https://github.com/bingothreed/BlogLearning#ue4重定向验证
https://github.com/bingothreed/BlogLearning#ogre共享骨骼与两种骨骼驱动方法
代码https://github.com/1165048017/BlogLearning/tree/master/OgreAnimation
理论https://mp.weixin.qq.com/s?__biz=MzU1NzU2MzcyMw==&mid=2247484080&idx=1&sn=ad28891278d8962281265aa7168b8f86&chksm=fc32a894cb452182479542cc0c140eeddb78a83c3676e49a8f6831427caf57eb1a604f2754dc&token=2144393419&lang=zh_CN#rd
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https://github.com/bingothreed/BlogLearning#opencv调用tensorflow20模型
代码https://github.com/1165048017/BlogLearning/tree/master/OpencvTensorflow2
理论https://mp.weixin.qq.com/s?__biz=MzU1NzU2MzcyMw==&mid=2247484019&idx=1&sn=8a5b4286393da84f2c80690962d75e4c&chksm=fc32a857cb4521410913537bc56cafc45328a0a8e819855f443b2eb7fca85fb38f54bab94ca9&token=2041151839&lang=zh_CN#rd
https://github.com/bingothreed/BlogLearning#flask-服务部署
代码https://github.com/1165048017/BlogLearning/tree/master/flaskfile
理论https://mp.weixin.qq.com/s?__biz=MzU1NzU2MzcyMw==&mid=2247484110&idx=1&sn=8b666558e617dae59680a4d8e605ad03&chksm=fc32a8eacb4521fc1614be4584acc1c9d620f56245ca7b12170cad8e14b1a0274d7257e8f05f&token=1146064727&lang=zh_CN#rd
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Readme https://github.com/bingothreed/BlogLearning#readme-ov-file
Please reload this pagehttps://github.com/bingothreed/BlogLearning
Activityhttps://github.com/bingothreed/BlogLearning/activity
74 forkshttps://github.com/bingothreed/BlogLearning/forks
Report repository https://github.com/contact/report-content?content_url=https%3A%2F%2Fgithub.com%2Fbingothreed%2FBlogLearning&report=bingothreed+%28user%29
Releaseshttps://github.com/bingothreed/BlogLearning/releases
Packages 0https://github.com/users/bingothreed/packages?repo_name=BlogLearning
Please reload this pagehttps://github.com/bingothreed/BlogLearning
Please reload this pagehttps://github.com/bingothreed/BlogLearning
Contributorshttps://github.com/bingothreed/BlogLearning/graphs/contributors
Please reload this pagehttps://github.com/bingothreed/BlogLearning
Jupyter Notebook 97.5% https://github.com/bingothreed/BlogLearning/search?l=jupyter-notebook
MATLAB 1.4% https://github.com/bingothreed/BlogLearning/search?l=matlab
Python 0.9% https://github.com/bingothreed/BlogLearning/search?l=python
C++ 0.1% https://github.com/bingothreed/BlogLearning/search?l=c%2B%2B
C 0.1% https://github.com/bingothreed/BlogLearning/search?l=c
CMake 0.0% https://github.com/bingothreed/BlogLearning/search?l=cmake
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