{"id":1628,"date":"2024-01-01T15:22:08","date_gmt":"2024-01-01T06:22:08","guid":{"rendered":"http:\/\/www.ecobioinfo.com\/?p=1628"},"modified":"2024-02-24T16:31:00","modified_gmt":"2024-02-24T07:31:00","slug":"%e6%b7%b1%e5%b1%a4%e5%ad%a6%e7%bf%92%e3%80%80tensorflow-object-detection-api-%e3%82%b5%e3%83%b3%e3%83%97%e3%83%ab%e3%83%97%e3%83%ad%e3%82%b0%e3%83%a9%e3%83%a0","status":"publish","type":"post","link":"https:\/\/www.ecobioinfo.com\/?p=1628","title":{"rendered":"\u6df1\u5c64\u5b66\u7fd2\u3000TensorFlow Object Detection API \u30b5\u30f3\u30d7\u30eb\u30d7\u30ed\u30b0\u30e9\u30e0"},"content":{"rendered":"

TensorFlow \u306e\u30aa\u30d6\u30b8\u30a7\u30af\u30c8\u691c\u51faAPI\u306e\u74b0\u5883\uff08Windows<\/a>, Ubuntu<\/a>\uff09\u304c\u3067\u304d\u307e\u3057\u305f\u306e\u3067\u3001TensorFlow \u306e\u30aa\u30d6\u30b8\u30a7\u30af\u30c8\u691c\u51faAPI\u306e\u30c1\u30e5\u30fc\u30c8\u30ea\u30a2\u30eb\u3092\u53c2\u8003\u306b\u3057\u3066\u3001\u30d5\u30a9\u30eb\u30c0\u5185\u306e\u753b\u50cf\u30d5\u30a1\u30a4\u30eb\u304b\u3089\u306e\u52d5\u7269\u306e\u691c\u51fa\u3068\u753b\u50cf\u306e\u5207\u308a\u51fa\u3057\u3092\u884c\u3046\u7c21\u5358\u306a Python \u30b5\u30f3\u30d7\u30eb\u30d7\u30ed\u30b0\u30e9\u30e0\u3092\u81ea\u4f5c\u3057\u3066\u307f\u307e\u3057\u305f\u3002
\n(\u7df4\u7fd2\u306e\u305f\u3081\u306e\u30b5\u30f3\u30d7\u30eb\u30d7\u30ed\u30b0\u30e9\u30e0\u3067\u3059\u3002\u8a73\u7d30\u306e\u52d5\u4f5c\u78ba\u8a8d\u306f\u884c\u3063\u3066\u3044\u307e\u305b\u3093\u3002)<\/p>\n

(1)\u6982\u8981
\n\u753b\u50cf\u304b\u3089\u306e\u52d5\u7269\u306e\u691c\u51fa\u3068\u753b\u50cf\u306e\u5207\u308a\u51fa\u3057\u3092\u884c\u3046\u30b5\u30f3\u30d7\u30eb\u30d7\u30ed\u30b0\u30e9\u30e0\u3002<\/p>\n

1.\u9078\u629e\u3055\u308c\u305f\u30d5\u30a9\u30eb\u30c0\u5185\u306e\u753b\u50cf\u30d5\u30a1\u30a4\u30eb\u3088\u308a\u7269\u4f53\u306e\u691c\u51fa\u3092\u884c\u3046\u3002
\n2.\u5143\u306e\u753b\u50cf\u306b\u30e9\u30d9\u30eb\u3092\u4ed8\u52a0\u3057\u305f\u753b\u50cf\u3092\u51fa\u529b\u3059\u308b\u3002
\n3.\u691c\u51fa\u3055\u308c\u305f\u7269\u4f53\u304c\u7279\u5b9a\u306e\u52d5\u7269\u306a\u3089\u3070\u3001\u305d\u306e\u90e8\u5206\u3092\u5207\u308a\u53d6\u308a\u30d5\u30a1\u30a4\u30eb\u3068\u3057\u3066\u51fa\u529b\u3059\u308b\u3002
\n \u51fa\u529b\u3055\u308c\u308b\u30d5\u30a1\u30a4\u30eb
\n \u30fb\u5143\u753b\u50cf\u306b\u30e9\u30d9\u30eb\u3092\u66f8\u304d\u8fbc\u3093\u3060\u30d5\u30a1\u30a4\u30eb\uff1a labeled_\u5143\u753b\u50cf\u30d5\u30a1\u30a4\u30eb\u540d
\n \u30fb\u691c\u51fa\u3055\u308c\u305f\u30aa\u30d6\u30b8\u30a7\u30af\u30c8\u3092\u5207\u308a\u51fa\u3057\u305f\u753b\u50cf\u30d5\u30a1\u30a4\u30eb\uff1a \u30af\u30e9\u30b9\u540d_\u5143\u753b\u50cf\u30d5\u30a1\u30a4\u30eb\u540d_\u756a\u53f7_\u30b9\u30b3\u30a2<\/p>\n

\u3053\u306e\u30d7\u30ed\u30b0\u30e9\u30e0\u306f TensorFlow 2 Object Detection API tutorial<\/a> \u306e Example \u3092\u53c2\u8003\u306b\u3057\u3066\u4f5c\u6210\u3055\u308c\u3066\u3044\u307e\u3059<\/p>\n

(2)\u30d7\u30ed\u30b0\u30e9\u30e0<\/p>\n

Python\u30d7\u30ed\u30b0\u30e9\u30e0\uff08\u30c6\u30ad\u30b9\u30c8\u30d5\u30a1\u30a4\u30eb UTF-8\uff09
\nsearchimage.py<\/a><\/p>\n

(3)\u89e3\u8aac
\n\u9078\u629e\u62bd\u51fa\u5bfe\u8c61\u3068\u306a\u308b\u30af\u30e9\u30b9\u306f\u30c0\u30a6\u30f3\u30ed\u30fc\u30c9\u3057\u305f mscoco_label_map.pbtxt \u304b\u3089\u52d5\u7269\u306e\u30af\u30e9\u30b9\u3092\u9078\u629e\u3057\u307e\u3057\u305f\u3002
\n\u3053\u3053\u3067\u306e\u52d5\u7269\u540d\u306f\u751f\u7269\u7684\u306a\u5206\u985e\u540d\u3067\u306f\u306a\u304f\u4e16\u4fd7\u7684\u306a\u540d\u524d\u3067\u3059\u3002<\/p>\n

\u5b9a\u7fa9
\nTARGET_CLASSES = [
\n [16, “bird” ], # \u9ce5
\n [17, “cat” ], # \u732b
\n [18, “dog” ], # \u72ac
\n [19, “horse” ], # \u99ac
\n [20, “sheep” ], # \u7f8a
\n [21, “cow” ], # \u725b
\n [22, “elephant”], # \u8c61
\n [23, “bear” ], # \u718a
\n [24, “zebra” ], # \u7e1e\u99ac
\n [25, “giraffe” ] # \u9e92\u9e9f
\n ]<\/p>\n

\u753b\u50cf\u306e\u3042\u308b\u30d5\u30a9\u30eb\u30c0\u306e\u9078\u629e\u51e6\u7406\u306f\u3001tkinter\u3092\u5229\u7528\u3057\u307e\u3057\u305f\u3002<\/p>\n

import tkinter.filedialog as filedialog
\nimageDirWk = filedialog.askdirectory(title=”\u753b\u50cf\u30d5\u30a9\u30eb\u30c0\u9078\u629e”, initialdir=defaultDir)<\/p>\n

\u66f8\u304d\u8fbc\u307f\u5148\u30d5\u30a9\u30eb\u30c0\u306e\u9078\u629e\u51e6\u7406\u3082\u540c\u69d8\u306b\u3001tkinter\u3092\u5229\u7528\u3057\u307e\u3057\u305f\u3002<\/p>\n

outputDirWk = filedialog.askdirectory(title=”\u66f8\u304d\u8fbc\u307f\u5148\u306e\u30d5\u30a9\u30eb\u30c0\u9078\u629e”, initialdir=defaultDir)<\/p>\n

\u30aa\u30d6\u30b8\u30a7\u30af\u30c8\u691c\u51fa\u30e2\u30c7\u30eb\u306e\u30c0\u30a6\u30f3\u30ed\u30fc\u30c9\u3084\u30e9\u30d9\u30eb\u306e\u30c0\u30a6\u30f3\u30ed\u30fc\u30c9\u306f\u3001\u307b\u307c\u30c1\u30e5\u30fc\u30c8\u30ea\u30a2\u30eb\u306e\u3068\u304a\u308a\u3067\u3059\u3002
\n\u30aa\u30d6\u30b8\u30a7\u30af\u30c8\u691c\u51fa\u7d50\u679c\u306e\u30af\u30e9\u30b9\u306e\u914d\u5217\u304b\u3089\u76ee\u7684\uff08TARGET_CLASSES\uff09\u3092\u691c\u51fa\u3059\u308b\u51e6\u7406\u306f\u4ee5\u4e0b\u306e\u3088\u3046\u306b\u3057\u307e\u3057\u305f\u3002
\n\u30b9\u30b3\u30a2\u304c 0.3 \u3088\u308a\u5927\u304d\u304f\u3001\u691c\u51fa\u3055\u308c\u305f\u753b\u50cf\u30b5\u30a4\u30ba\u304c 10 x 10 \u3088\u308a\u5927\u304d\u3044\u5834\u5408\u3092\u5207\u308a\u51fa\u3059\u3053\u3068\u306b\u3057\u3066\u3044\u307e\u3059\u3002<\/p>\n

classArray = detections[‘detection_classes’]
\n for item in TARGET_CLASSES :
\n   indexes = np.where(classArray == item[0])
\n   for index in indexes[0] :
\n     box = detections[‘detection_boxes’][index]
\n     score = detections[‘detection_scores’][index]
\n     if score > 0.3 : # \u30b9\u30b3\u30a2\u304c\u4e00\u5b9a\u4ee5\u4e0a\u3092\u5bfe\u8c61\u306b\u3059\u308b
\n       # \u8a72\u5f53\u7bc4\u56f2\u3092\u5207\u308a\u51fa\u3059
\n       boxImage = getBoxImage(imageNpWithDetectons, box)
\n       h, w, c = boxImage.shape
\n       if h > 10 and w > 10 : # \u753b\u50cf\u30b5\u30a4\u30ba\u304c\u4e00\u5b9a\u4ee5\u4e0a\u3092\u5bfe\u8c61\u306b\u3059\u308b<\/p>\n

\u753b\u50cf\u306e\u691c\u51fa\u7d50\u679c\u304b\u3089\u753b\u50cf\u3092\u5207\u308a\u51fa\u3059\u51e6\u7406\u306f\u914d\u5217\u306e\u51e6\u7406\u3092\u4f7f\u3063\u3066\u3044\u307e\u3059\u3002<\/p>\n

def getBoxImage(img, box) :
\n  h, w, c = img.shape
\n  sx = int(box[1] * w)
\n  sy = int(box[0] * h)
\n  ex = int(box[3] * w)
\n  ey = int(box[2] * h)
\n  return img[sy:ey, sx:ex]<\/p>\n

(4)\u52d5\u4f5c\u78ba\u8a8d<\/p>\n

\u30c6\u30b9\u30c8\u30c7\u30fc\u30bf\u4e00\u89a7
\n\"od_test\"<\/p>\n

\u5b9f\u884c\u7d50\u679c\u4e00\u89a7
\n\"od_result\"<\/p>\n

\u691c\u51fa\u3055\u308c\u305f\u753b\u50cf\u306e\u4f8b
\n\"labeled_image11\"<\/p>\n

\u5207\u308a\u51fa\u3055\u308c\u305f\u753b\u50cf\u306e\u4f8b<\/p>\n

\"bird_image11_0_074.\"
\n\"bird_image11_2_049.\"
\n\"bird_image11_1_068.\"<\/p>\n

\u7d50\u679c\u3092\u898b\u308b\u3068\u3001\u30de\u30cc\u30eb\u30cd\u30b3\uff08\u91ce\u751f\u306e\u30cd\u30b3\uff09\u306f”cat”\u3068\u3057\u3066\u691c\u51fa\u3055\u308c\u3066\u3044\u307e\u3059\u3002<\/p>\n

\"labeled_image17\"<\/p>\n

\u732b\u306e\u624b\u306e\u753b\u50cf\u3082”cat”\u3068\u3057\u3066\u6b63\u3057\u304f\u691c\u51fa\u3055\u308c\u307e\u3057\u305f\u304c\u540c\u3058\u3088\u3046\u306a\u753b\u50cf\u306f\u8907\u6570\u51fa\u3066\u3044\u307e\u3059\u3002<\/p>\n

\"labeled_image16\"<\/p>\n

\u30af\u30e9\u30b9\u5b9a\u7fa9\u306b\u306a\u3044\u52d5\u7269\u3067\u306f\u3001\u30a6\u30b5\u30ae\u304c”cat”\u6271\u3044\u3055\u308c\u3066\u3001\u30b8\u30e3\u30a4\u30a2\u30f3\u30c8\u30d1\u30f3\u30c0\u306f\u5bfe\u8c61\u5916\u3067\u30e9\u30d9\u30eb\u306a\u3057\u3068\u306a\u308a\u307e\u3057\u305f\u3002
\n\u305d\u306e\u4ed6\u306f\u671f\u5f85\u901a\u308a\u306e\u7d50\u679c\u3068\u306a\u308a\u307e\u3057\u305f\u3002<\/p>\n

\u4eca\u56de\u5229\u7528\u3057\u305f\u5b66\u7fd2\u6e08\u307f\u30e2\u30c7\u30eb\u306f\u4e16\u4fd7\u7684\u306a\u5206\u985e\u3067\u751f\u7269\u306e\u7a2e\u985e\u3082\u5c11\u306a\u3044\u3067\u3059\u306e\u3067\u3001
\n\u4eca\u5f8c\u306e\u8ab2\u984c\u3068\u3057\u3066\u306f ecobio \u3089\u3057\u304f\u3001\u3088\u308a\u591a\u69d8\u3067\u8a73\u7d30\u306a\u751f\u7269\u753b\u50cf\u30c7\u30fc\u30bf\u3067\u518d\u5b66\u7fd2\u3092\u884c\u3044\u691c\u51fa\u3059\u308b\u3053\u3068\u3067\u3059\u3002<\/p>\n

\uff082024\/01\/01 Shin Onda\uff09
\n\uff082024\/02\/24 Shin Onda \u4e00\u90e8\u4fee\u6b63\uff09<\/p>\n","protected":false},"excerpt":{"rendered":"TensorFlow \u306e\u30aa\u30d6\u30b8\u30a7\u30af\u30c8\u691c\u51faAPI\u306e\u74b0\u5883\uff08Windows, Ubuntu\uff09\u304c\u3067\u304d\u307e\u3057\u305f\u306e\u3067\u3001TensorFlow \u306e\u30aa\u30d6\u30b8\u30a7\u30af\u30c8\u691c\u51faAPI\u306e\u30c1\u30e5\u30fc\u30c8\u30ea\u30a2\u30eb\u3092\u53c2\u8003\u306b\u3057\u3066\u3001\u30d5\u30a9\u30eb\u30c0\u5185\u306e\u753b\u50cf\u30d5\u30a1\u30a4\u30eb\u304b\u3089\u306e\u52d5\u7269\u306e\u691c\u51fa …","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[7],"tags":[],"class_list":["post-1628","post","type-post","status-publish","format-standard","hentry","category-ai_ecobio"],"_links":{"self":[{"href":"https:\/\/www.ecobioinfo.com\/index.php?rest_route=\/wp\/v2\/posts\/1628","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.ecobioinfo.com\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.ecobioinfo.com\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.ecobioinfo.com\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.ecobioinfo.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=1628"}],"version-history":[{"count":19,"href":"https:\/\/www.ecobioinfo.com\/index.php?rest_route=\/wp\/v2\/posts\/1628\/revisions"}],"predecessor-version":[{"id":1662,"href":"https:\/\/www.ecobioinfo.com\/index.php?rest_route=\/wp\/v2\/posts\/1628\/revisions\/1662"}],"wp:attachment":[{"href":"https:\/\/www.ecobioinfo.com\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=1628"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.ecobioinfo.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=1628"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.ecobioinfo.com\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=1628"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}