[B! machine-learning][computer vision] tokuryooã®ãƒ

tokuryoo id:tokuryoo

machine-learningã¨computer visionã«é–¢ã™ã‚‹tokuryooã®ãƒ–ãƒƒã‚¯ãƒžãƒ¼ã‚¯ (25)

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æ©Ÿæ¢°å¦ç¿’å‘ã‘CGãƒ‡ãƒ¼ã‚¿ã®é‡ç”£æ‰‹æ³•ã®æ¤œè¨Ž
ã‚»ãƒƒã‚·ãƒ§ãƒ³ã®å†…å®¹ æ©Ÿæ¢°å¦ç¿’ã‚’æ´»ç”¨ã—ãŸã‚µãƒ¼ãƒ“ã‚¹ã®æ™®åŠã«ä¼´ã„ã€äº‹å‰å¦ç¿’ç”¨ã®ãƒ‡ãƒ¼ã‚¿ä¾›çµ¦ãŒèª²é¡Œã¨ãªã£ã¦ã„ã¾ã™ã€‚ ã‚·ãƒªã‚³ãƒ³ã‚¹ã‚¿ã‚¸ã‚ªã§ã¯ã€ãƒªã‚¢ãƒ«ã‚¿ã‚¤ãƒ ã‚°ãƒ©ãƒ•ã‚£ãƒƒã‚¯ã‚¹æŠ€è¡“ã‚’æ´»ç”¨ã—ãŸæ©Ÿæ¢°å¦ç¿’å‘ã‘CGç”»åƒãƒ‡ãƒ¼ã‚¿ã®é‡ç”£åŒ–ã«å–ã‚Šçµ„ã‚“ã§ãŠã‚Šã€ã©ã†ã„ã£ãŸCGã‚¢ã‚»ãƒƒãƒˆã‚’åˆ¶ä½œã™ã‚Œã°ç”»åƒèªè˜ã®ç²¾åº¦å‘ä¸Šã«å¯„ä¸Žã™ã‚‹ã®ã‹ã€æ¤œè¨¼ã‚’è¡Œã£ã¦ã„ã¾ã™ã€‚ æœ¬ã‚»ãƒƒã‚·ãƒ§ãƒ³ã§ã¯ã€CGç”»åƒãƒ‡ãƒ¼ã‚¿ã®é‡ç”£ãŠã‚ˆã³å“è³ªè©•ä¾¡ã®ç’°å¢ƒæ§‹ç¯‰ã¨ã€ç”»åƒèªè˜ã‚’å¯¾è±¡ã¨ã—ãŸç°¡å˜ãªäº‹ä¾‹ã‚’ç´¹ä»‹ã„ãŸã—ã¾ã™ã€‚
tokuryoo 2017/09/08
computer vision

machine-learning

dataset
ãƒªãƒ³ã‚¯
æ©Ÿæ¢°å¦ç¿’ã§ã¤ã‹ã†ç”»åƒã‚’é›†ã‚ã‚‹ä½œæ¥ã‚’å°‘ã—ãƒ©ã‚¯ã«ã™ã‚‹ãƒ„ãƒ¼ãƒ«ã‚’ã¤ãã‚Šã¾ã—ãŸ - #daiizãƒ¡ãƒ¢
æ˜¨æ—¥ã®è¨˜äº‹ ã®å†’é ã§ç´¹ä»‹ã—ãŸï¼Œæ©Ÿæ¢°å¦ç¿’ç”¨ã®ç”»åƒãƒ‡ãƒ¼ã‚¿ã‚’åŽé›†ã™ã‚‹ä½œæ¥ã‚’æ‰‹åŠ©ã‘ã™ã‚‹ãƒ„ãƒ¼ãƒ«ã€ŽtfPhotoPaletteã€ã‚’Chromeã‚¦ã‚§ãƒ–ã‚¹ãƒˆã‚¢ã§å…¬é–‹ã—ã¾ã—ãŸï¼ŽTensorBoardã«å‚šã£ã¦ã‚ªãƒ¬ãƒ³ã‚¸ç³»çµ±ã®é…è‰²ã«ã—ã¦ã¿ã¾ã—ãŸï¼Ž Chromebookã§ã‚‚ä½¿ãˆã¾ã™ï¼ï¼ ç”»åƒã®è¡¨ç¤º ç”»é¢ä¸Šéƒ¨ã®é•·ã„ãƒœãƒƒã‚¯ã‚¹ã«ç”»åƒã®URLã‚’å…¥åŠ›ã—ã¦ï¼Œãã®éš£ã®ã€ŒLoadã€ãƒœã‚¿ãƒ³ã‚’æŠ¼ã™ã¨ç”»åƒãŒè¡¨ç¤ºã•ã‚Œã¾ã™ï¼Žä¸€ç•ªå·¦ã«å¤§ããè¡¨ç¤ºã•ã‚ŒãŸç”»åƒãŒã‚ªãƒªã‚¸ãƒŠãƒ«ãªã‚‚ã®ã§ã™ï¼Žç”»åƒã®ä¸ã«ç”¨æ„ã•ã‚Œã¦ã„ã‚‹åŠé€æ˜Žãªé ˜åŸŸã®å¤§ãã•ã‚„ä½ç½®ã‚’å¤‰æ›´ã—ã¦ï¼Œä»»æ„ã®ç®‡æ‰€ã‚’åˆ‡ã‚ŠæŠœãã“ã¨ãŒã§ãã¾ã™ï¼Žåˆ‡ã‚ŠæŠœã‹ã‚ŒãŸé ˜åŸŸã¯ï¼Œã‚ªãƒªã‚¸ãƒŠãƒ«ç”»åƒã®ã™ãå³éš£ã«è¡¨ç¤ºã•ã‚Œã¾ã™ï¼Ž ç”»åƒã®åˆ‡ã‚ŠæŠœãã¨ç¸®å° æ©Ÿæ¢°å¦ç¿’ã§å¦ç¿’ï¼è©•ä¾¡ç”¨ã«ä¸Žãˆã‚‹ç”»åƒã®ã‚µã‚¤ã‚ºã¯ï¼Œã‹ãªã‚Šç¸®å°ã—ã¦ãŠãå¿…è¦ãŒã‚ã‚Šã¾ã™ï¼ŽTensorFlowã®ãƒãƒ¥ãƒ¼ãƒˆãƒªã‚¢ãƒ«ã§ç´¹ä»‹ã•ã‚Œã¦ã„ãŸç”»åƒåˆ†é¡žã®è©±ã‚„ï¼Œæ˜¨æ—¥ã®ä¾‹ã§ã¯å…¥åŠ›ç”»åƒã¯32 x 32 px
tokuryoo 2016/02/20
machine-learning

computer vision
ãƒªãƒ³ã‚¯
Analyzing 50k fonts using deep neural networks
Analyzing 50k fonts using deep neural networks 2016-01-21 For some reason I decided one night I wanted to get a bunch of fonts. A lot of them. An hour later I had a bunch of scrapy scripts pulling down fonts and a few days later I had more than 50k fonts on my computer. I then decided to convert it to bit maps. It turns out this is a bit trickier than it might seem like. You need to crop in such a
tokuryoo 2016/02/03
deep learning

computer vision

machine-learning
ãƒªãƒ³ã‚¯
ç”»åƒå‡¦ç†ã®æ•°å¼ã‚’è¦‹ã¦çŸ³ã«ãªã£ãŸæ™‚ã®ãŸã‚ã®ã€é‡‘ã®é‡ - Qiita
$k$ã¯å®šæ•°ã§ã€ã ã„ãŸã„0.04~0.06ãã‚‰ã„ã§ã™ã€‚Rã®å€¤ã«ã‚ˆã£ã¦ä»¥ä¸‹ã®ã‚ˆã†ã«åˆ†é¡žã§ãã¾ã™ã€‚ RãŒå¤§ãã„: corner RãŒå°ã•ã„: flat R < 0: edge å›³ã«ã™ã‚‹ã¨ã€ä»¥ä¸‹ã®ã‚ˆã†ã«ãªã‚Šã¾ã™ã€‚ CSE/EE486 Computer Vision I, Lecture 06, Corner Detection, p22 ã“ã‚Œã§æ‰‹æ—©ãcornerã‚’æ¤œå‡ºã§ãã‚‹ã‚ˆã†ã«ãªã‚Šã¾ã—ãŸã€‚ã“ã“ã§ã€corneræ¤œå‡ºã«ã¤ã„ã¦ã¾ã¨ã‚ã¦ãŠãã¾ã™ã€‚ cornerã¯è¤‡æ•°ã®edgeãŒé›†ã¾ã‚‹ç®‡æ‰€ã¨å®šç¾©ã§ãã‚‹ å¤‰åŒ–é‡ã‚’ã¾ã¨ã‚ãŸè¡Œåˆ—ã®å›ºæœ‰ãƒ™ã‚¯ãƒˆãƒ«ã‹ã‚‰edgeã®å‘ãã€å›ºæœ‰å€¤ã®å¤§ãã•ã‹ã‚‰å¤‰åŒ–é‡ã®å¤§ãã•(edgeã‚‰ã—ã•)ãŒã‚ã‹ã‚‹ 2ã¤ã®å›ºæœ‰å€¤ã®å€¤ã‚’åŸºã«ã€edgeã€cornerã€flatã‚’åˆ¤å®šã§ãã‚‹ å›ºæœ‰å€¤ã®è¨ˆç®—ã¯æ‰‹é–“ã§ã‚ã‚‹ãŸã‚ã€åˆ¤å®šå¼ã‚’åˆ©ç”¨ã—è¨ˆç®—ã‚’ç°¡ç•¥åŒ–ã™ã‚‹ ãªãŠã€Harrisã¯edgeã®å‘ãã§ã‚ã‚‹å›ºæœ‰ãƒ™ã‚¯ãƒˆãƒ«ã‚’è€ƒæ…®ã™
tokuryoo 2016/02/02
machine-learning

computer vision

math
ãƒªãƒ³ã‚¯
Heroku + OpenCVã§ç°¡æ˜“é¡”æ¤œå‡ºAPI - ã™ãŽã‚ƒãƒ¼ã‚“ãƒ¡ãƒ¢
Docker Image of Python with OpenCV 3.0 for Heroku - ã™ãŽã‚ƒãƒ¼ã‚“ãƒ¡ãƒ¢ ã®ç¶šãçš„ãªã‹ã‚“ã˜ã§ã€‚ OpenCVã§ã‚ˆãä½¿ã‚ã‚Œã‚‹Object Detectionæ©Ÿèƒ½ã§ã€ç”»åƒã‹ã‚‰é¡”ã‚’æ¤œå‡ºã™ã‚‹APIã‚’ä½œã£ã¦ã¿ãŸã€‚ Heroku app https://face-detector.herokuapp.com/ Github repository https://github.com/sugyan/face-detector é¡”æ¤œå‡º åŸºç¤Ž ä¸€ç•ªç°¡å˜ãªã‚ªãƒ–ã‚¸ã‚§ã‚¯ãƒˆæ¤œå‡ºã®æ‰‹æ³•ãŒã€Haar-likeç‰¹å¾´ã«åŸºã¥ãã‚«ã‚¹ã‚±ãƒ¼ãƒ‰åž‹åˆ†é¡žå™¨(Haar Feature-based Cascade Classifiers)ã¨ã„ã†ã®ã‚’ç”¨ã„ã‚‹ã‚„ã¤ã€‚ OpenCV: Face Detection using Haar Cascades OpenCVã«ã¯é¡”ã‚„ç›®ãªã©ã«é–¢ã—ã¦å¦ç¿’æ¸ˆã¿ã®ãƒ‡ãƒ¼ã‚¿
tokuryoo 2016/01/13
machine-learning

computer vision
ãƒªãƒ³ã‚¯
ç”»åƒå‡¦ç†ã‚’å°Žå…¥ã™ã‚‹ã¨ãã«æ¤œè¨Žã™ã¹ã10ã®æ‰‹æ³• - LIFULL Creators Blog
ã‚ã‘ã¾ã—ã¦ãŠã‚ã§ã¨ã†ã”ã–ã„ã¾ã™ã€‚ ãŠã†ã¡ãƒãƒƒã‚«ãƒ¼@ãƒªãƒƒãƒ†ãƒ«ãƒ©ãƒœãƒ©ãƒˆãƒªãƒ¼ã®çŸ³ç”°ã§ã™ã€‚ ç”»åƒã‹ã‚‰ä½•ã‹ã‚’æ¤œå‡ºã—ãŸã„ã€ãƒ¦ãƒ¼ã‚¶ãƒ¼ã®å‹•ãã«é€£å‹•ã—ã¦ä½•ã‹ä½œã‚ŠãŸã„ã€ãªã‚“ã¦æ€ã†ã“ã¨ãŒã‚ã‚‹ã¨æ€ã„ã¾ã™ã€‚ ãã‚“ãªã¨ãã«ã€ã©ã‚“ãªæŠ€è¡“ã‚’ä½¿ãˆã°ã‚ˆã„ã®ã‹è¿·ã†ã¨æ€ã†ã®ã§ã™ãŒã€ãã‚“ãªã¨ãã«æ¤œè¨Žã™ã¹ããƒ©ã‚¤ãƒ–ãƒ©ãƒªã€APIã€ãƒ‡ãƒã‚¤ã‚¹ã‚’ç´¹ä»‹ã—ãŸã„ã¨æ€ã„ã¾ã™ã€‚ ç”»åƒå‡¦ç†ã¨ã„ã£ãŸã‚‰lennaã•ã‚“ ã‚ªãƒ¼ãƒ—ãƒ³ãƒ©ã‚¤ãƒ–ãƒ©ãƒªç³» ã“ã¡ã‚‰ã¯ã‚½ãƒ¼ã‚¹ãŒå…¬é–‹ã•ã‚Œã¦ã„ã‚‹ç”»åƒå‡¦ç†ãƒ©ã‚¤ãƒ–ãƒ©ãƒªã§ã€è‡ªåˆ†ã§çµ„ã¿åˆã‚ã›ã¦é©åˆ‡ãªå‡¦ç†ã‚’ä½œæˆã—ã¾ã™ã€‚ ãƒ©ã‚¤ãƒ–ãƒ©ãƒªã«ã‚ˆã£ã¦å¾—æ‰‹ä¸å¾—æ‰‹ãŒã‚ã‚‹ã®ã§ã€å˜ç‹¬ã¨ã„ã†ã‚ˆã‚Šã€çµ„ã¿åˆã‚ã›ã¦ä½¿ã†ã“ã¨ãŒå¤šã„ã¨æ€ã„ã¾ã™ã€‚è¨€èªžã¯C++, PythonãŒãƒ¡ã‚¤ãƒ³ã«ãªã‚Šã¾ã™ã€‚ OpenCV OpenCV | OpenCV ç”»åƒå‡¦ç†ã¨ã„ã£ãŸã‚‰ã“ã‚Œï¼ã¨ã„ã†å®šç•ªãƒ©ã‚¤ãƒ–ãƒ©ãƒªã§ã™ã€‚ å‹•ã‹ã›ã‚‹ãƒ—ãƒ©ãƒƒãƒˆãƒ•ã‚©ãƒ¼ãƒ ã‚‚ã€windows,mac,Linux,Android, iOS
tokuryoo 2016/01/05
machine-learning

deep learning

computer vision
ãƒªãƒ³ã‚¯
This AI Algorithm Learns Simple Tasks as Fast as We Do
Taking inspiration from the way humans seem to learn, scientists have created AI software capable of picking up new knowledge in a far more efficient and sophisticated way. Fig. 1. People can learn rich concepts from limited data. (A and B) A single example of a new concept (red boxes) can be enough information to support the (i) classification of new examples, (ii) generation of new examples, (ii
tokuryoo 2015/12/11
The new AI program can recognize a handwritten character about as accurately as a human can, after seeing just a single example.

machine-learning

computer vision

bayesian
ãƒªãƒ³ã‚¯
CIFAR-10 and CIFAR-100 datasets
Baseline results You can find some baseline replicable results on this dataset on the project page for cuda-convnet. These results were obtained with a convolutional neural network. Briefly, they are 18% test error without data augmentation and 11% with. Additionally, Jasper Snoek has a new paper in which he used Bayesian hyperparameter optimization to find nice settings of the weight decay and ot
tokuryoo 2015/12/07
dataset

deep learning

machine-learning

computer vision
ãƒªãƒ³ã‚¯
Yahoo! Labsã€Flickrã§ç ”ç©¶ç”¨ã®ãƒ‡ãƒ¼ã‚¿ã‚»ãƒƒãƒˆã¨ã—ã¦1å„„ä»¶ã®ç”»åƒç‰ã‚’CCãƒ©ã‚¤ã‚»ãƒ³ã‚¹ã§å…¬é–‹
2014å¹´6æœˆ24æ—¥ã€Yahoo! LabsãŒFlickrã§ç´„9,930ä¸‡ä»¶ã®ç”»åƒã€ç´„70ä¸‡ä»¶ã®å‹•ç”»ã‚’Yahoo! Webscopeã®ç ”ç©¶ç”¨ã®ãƒ‡ãƒ¼ã‚¿ã‚»ãƒƒãƒˆã¨ã—ã¦ã€CCãƒ©ã‚¤ã‚»ãƒ³ã‚¹ã§å…¬é–‹ã—ãŸã¨ç™ºè¡¨ã—ã¦ã„ã¾ã™ã€‚ ãƒ‡ãƒ¼ã‚¿ã‚»ãƒƒãƒˆã¯ç´„12GBã§ã€å†™çœŸã€JPEGç”»åƒã®URLã€ãƒ“ãƒ‡ã‚ªã®URLã‚„ã‚¿ã‚¤ãƒˆãƒ«ã€èª¬æ˜Žã€ã‚«ãƒ¡ãƒ©ã®ç¨®é¡žã‚„ã‚¿ã‚°ãªã©ã®ãƒ¡ã‚¿ãƒ‡ãƒ¼ã‚¿ã‚‚å«ã¾ã‚Œã¦ã„ã‚‹ã¨ã®ã“ã¨ã§ã™ã€‚ã¾ãŸã€4,900ä¸‡ä»¶ã®å†™çœŸã«ã¯ã€ã‚¸ã‚ªã‚¿ã‚°ï¼ˆç·¯åº¦ã¨çµŒåº¦ã«ã¤ã„ã¦ã®æƒ…å ±ï¼‰ãŒä»˜ä¸Žã•ã‚Œã¦ã„ã‚‹ã¨ã®ã“ã¨ã§ã™ã€‚Amazonã®ã‚¦ã‚§ãƒ–ã‚µãƒ¼ãƒ“ã‚¹ã®ãƒ—ãƒ©ãƒƒãƒˆãƒ•ã‚©ãƒ¼ãƒ ã‚’åˆ©ç”¨ã—ã¦æä¾›ã•ã‚Œã¦ãŠã‚Šã€ã‚¢ã‚¯ã‚»ã‚¹ã«ã¯ç„¡æ–™ã®ç™»éŒ²ãŒå¿…è¦ã¨ã®ã“ã¨ã§ã™ã€‚ One Hundred Million Creative Commons Flickr Images for Research http://yahoolabs.tumblr.com/post/89783581601/one-hu
tokuryoo 2015/10/28
machine-learning

computer vision

dataset
ãƒªãƒ³ã‚¯
80 Million Tiny Images
June 29th, 2020 It has been brought to our attention [1] that the Tiny Images dataset contains some derogatory terms as categories and offensive images. This was a consequence of the automated data collection procedure that relied on nouns from WordNet. We are greatly concerned by this and apologize to those who may have been affected. The dataset is too large (80 million images) and the images ar
tokuryoo 2015/10/28
ä¸€èˆ¬ç‰©ä½“èªè˜ã‚¿ã‚¹ã‚¯ã®ãƒ‡ãƒ¼ã‚¿ã‚»ãƒƒãƒˆã€‚

machine-learning

computer vision

dataset
ãƒªãƒ³ã‚¯
Caltech256
View all the images . Please do not link directly to these images: it overloads our server.
tokuryoo 2015/10/28
ä¸€èˆ¬ç‰©ä½“èªè˜ã‚¿ã‚¹ã‚¯ã®ãƒ‡ãƒ¼ã‚¿ã‚»ãƒƒãƒˆã€‚

machine-learning

computer vision

dataset
ãƒªãƒ³ã‚¯
Caltech101
Description Pictures of objects belonging to 101 categories. About 40 to 800 images per category. Most categories have about 50 images. Collected in September 2003 by Fei-Fei Li, Marco Andreetto, and Marc 'Aurelio Ranzato.Â The size of each image is roughly 300 x 200 pixels. We have carefully clicked outlines of each object in these pictures, these are included under the 'Annotations.tar'. There i
tokuryoo 2015/10/28
ä¸€èˆ¬ç‰©ä½“èªè˜ã‚¿ã‚¹ã‚¯ã®ãƒ‡ãƒ¼ã‚¿ã‚»ãƒƒãƒˆã®ã‚¹ã‚¿ãƒ³ãƒ€ãƒ¼ãƒ‰ã£ã½ã„ã€‚

machine-learning

computer vision

dataset
ãƒªãƒ³ã‚¯
What a Deep Neural Network thinks about your #selfie
Convolutional Neural Networks are great: they recognize things, places and people in your personal photos, signs, people and lights in self-driving cars, crops, forests and traffic in aerial imagery, various anomalies in medical images and all kinds of other useful things. But once in a while these powerful visual recognition models can also be warped for distraction, fun and amusement. In this fu
tokuryoo 2015/10/27
machine-learning

cnn

computer vision
ãƒªãƒ³ã‚¯
éšŽå±¤ãƒ‡ã‚£ãƒªã‚¯ãƒ¬éŽç¨‹äº‹å‰åˆ†å¸ƒãƒ¢ãƒ‡ãƒ«ã«ã‚ˆã‚‹ç”»åƒé ˜åŸŸåˆ†å‰²
ç”»åƒé ˜åŸŸåˆ†å‰²å•é¡Œã‚’æ•™å¸«ãªã—å¦ç¿’ã¨ã—ã¦è§£ãã¾ã™ã€‚ç”»åƒã‚’ç¢ºçŽ‡çš„ã«ãƒ¢ãƒ‡ãƒªãƒ³ã‚°ã—ã¾ã™ã€‚äº‹å‰åˆ†å¸ƒã¨ã—ã¦éšŽå±¤ãƒ‡ã‚£ãƒªã‚¯ãƒ¬éŽç¨‹ã‚’å°Žå…¥ã—ã¦ã„ã¾ã™ã€‚Read less
tokuryoo 2015/10/26
machine-learning

computer vision
ãƒªãƒ³ã‚¯
ã‚¢ãƒ‹ãƒ¡é¡”èªè˜ã‚’æ”¯ãˆã‚‹æŠ€è¡“ by kivantium ã•ã‚“ - niconare
ã”æ³¨æ–‡ã¯æ©Ÿæ¢°å¦ç¿’ã§ã™ã‹ï¼Ÿ(http://www.nicovideo.jp/watch/sm24999950)ã¨ã€ ã”æ³¨æ–‡ã¯Deep Leaningã§ã™ã‹ï¼Ÿ(http://www.nicovideo.jp/watch/sm25618673) ã§ä½¿ã£ã¦ã„ã‚‹æŠ€è¡“ã‚’è»½ãç´¹ä»‹ã—ãŸã‚¹ãƒ©ã‚¤ãƒ‰ã§ã™ã€‚
tokuryoo 2015/10/26
machine-learning

computer vision
ãƒªãƒ³ã‚¯
ImageNet
ImageNet Large Scale Visual Recognition Challenge 2012 (ILSVRC2012) Introduction Task Timetable Citationnew Organizers Contact Workshop Download Evaluation Server News September 2, 2014: A new paper which describes the collection of the ImageNet Large Scale Visual Recognition Challenge dataset, analyzes the results of the past five years of the challenge, and even compares current computer accurac
tokuryoo 2015/10/26
æ·±å±¤å¦ç¿’æœ¬ã«è¼‰ã£ã¦ãŸ ILSVRC2012 ã£ã½ã„ã€‚

machine-learning

computer vision
ãƒªãƒ³ã‚¯
ç‹¬ç«‹æˆåˆ†åˆ†æžã¨ç”»åƒèªè˜
tokuryoo 2015/09/11
ICAã‚’ç”¨ã„ã¦æŠ½å‡ºã•ã‚ŒãŸè‡ªç„¶ç”»åƒã®åŸºåº•é–¢æ•°ã®å½¢çŠ¶ã¯äººé–“ã®ç¬¬1æ¬¡è¦–è¦šé‡Žã«ãŠã‘ã‚‹å˜ç´”åž‹ç´°èƒžã®å—å®¹é‡Žã¨ä¸€è‡´ã—ã¦ã„ã‚‹ã“ã¨ãŒã‚ã‹ã£ãŸ(10)

machine-learning

computer vision

ica
ãƒªãƒ³ã‚¯
ç‰©ä½“èªè˜ã®ãŸã‚ã® 3 æ¬¡å…ƒç‰¹å¾´é‡ã®åŸºç¤Žã¨å‹•å‘
tokuryoo 2015/09/11
computer vision

machine-learning
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tokuryoo 2015/09/11
computer vision

machine-learning
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tokuryoo 2015/09/11
computer vision

machine-learning
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