{"id":5909,"date":"2021-06-02T18:41:41","date_gmt":"2021-06-02T09:41:41","guid":{"rendered":"https:\/\/kats-eye.net\/info\/?p=5909"},"modified":"2021-06-02T19:54:05","modified_gmt":"2021-06-02T10:54:05","slug":"raspi-scikit-learn-mlp","status":"publish","type":"post","link":"https:\/\/kats-eye.net\/info\/2021\/06\/02\/raspi-scikit-learn-mlp\/","title":{"rendered":"\u30e9\u30ba\u30d1\u30a4\uff14 SCIKIT-LEARN \u3067\u6a5f\u68b0\u5b66\u7fd2\uff08MLP\uff09\u3092\u5b66\u3076"},"content":{"rendered":"\n<h2>\u6982\u8981<\/h2>\n\n\n\n<p>\u3000scikit-learn \u591a\u5c64\u30d1\u30fc\u30bb\u30d7\u30c8\u30ed\u30f3\uff08MLP\uff1aMulitilayer Perceptron\uff09\u3092\u4f7f\u7528\u3057\u307e\u3059\u3002\u524d\u56de\u6295\u7a3f\u306e  SVM \u306f\u3001\u57fa\u672c\uff12\u30af\u30e9\u30b9\u5206\u985e\u5bfe\u5fdc\u3067\u3057\u305f\u304c\u3001MLP \u306f\uff13\u30af\u30e9\u30b9\u4ee5\u4e0a\u306e\u5206\u985e\u304c\u53ef\u80fd\u3068\u306e\u3053\u3068\u3067\u3059\u3002<br>\u3000NeoPixel \uff08\u30d5\u30eb\u30ab\u30e9\u30fcLED\uff09\u70b9\u706f\u72b6\u614b\u3092\u3001USB\u30ab\u30e1\u30e9\u3067\u64ae\u5f71\u3057\u3001RGB\u6210\u5206\u3092\u7279\u5fb4\u5024\u3001\u8272\u7a2e\u985e\u3092\u6b63\u89e3\u3068\u3057\u3066\u3001MLP\u30e2\u30c7\u30eb\u306b\u5b66\u7fd2\u3055\u305b\u307e\u3059\u3002\u6b21\u306b\u5b66\u7fd2\u3057\u305fMLP\u30e2\u30c7\u30eb\u3092\u4f7f\u7528\u3057\u3001RGB\u6210\u5206\u5024\u304b\u3089NeoPixel \u306e\uff18\u8272\u306e\u70b9\u706f\u72b6\u614b\u5224\u5b9a\u3092\u884c\u3044\u307e\u3059\u3002\u5b66\u7fd2\u6642\u3068\u5224\u5b9a\u6642\u3067\u660e\u308b\u3055\u306e\u5909\u5316\u7b49\u304c\u7121\u3051\u308c\u3070\u3001\u5b89\u5b9a\u3057\u305f\u4e88\u6e2c\u304c\u884c\u3048\u308b\u69d8\u3067\u3059\u3002<br>\u3000\u53cd\u5bfe\u306b\u5468\u56f2\u306e\u660e\u308b\u3055\u306e\u5909\u5316\u304c\u5927\u304d\u3044\u5834\u6240\u3067\u306f\u3001\u90e8\u5c4b\u306e\u7167\u5ea6\u3092\u7279\u5fb4\u5024\u306b\u52a0\u3048\u305f\u308a\u3001\u60f3\u5b9a\u3055\u308c\u308b\u74b0\u5883\u3067\u53d6\u5f97\u3057\u305f\u30c7\u30fc\u30bf\u306b\u3088\u308b\u5b66\u7fd2\u306a\u3069\u304c\u5fc5\u8981\u306a\u306e\u3060\u3068\u601d\u3044\u307e\u3059\u3002<br><\/p>\n\n\n\n<h2>\u7279\u5fb4\u5024\u53d6\u5f97\u30fb\u5224\u5b9a\u72b6\u6cc1\u52d5\u753b<\/h2>\n\n\n\n<p>\u3000NeoPixel \u306e\u7279\u5fb4\u5024\uff08RGB\uff09\u53d6\u5f97\u3068\u5224\u5b9a\u72b6\u6cc1\u306e\u52d5\u753b\u3067\u3059\u3002\u52d5\u753b\u3092\u898b\u308b\u3068\u8272\u304c\u5207\u308a\u63db\u308f\u308b\u524d\u306b\u5224\u5b9a\u7d50\u679c\u304c\u8868\u793a\u3055\u308c\u3066\u3044\u308b\u69d8\u306b\u3082\u611f\u3058\u3089\u308c\u307e\u3059\u3002\u4eca\u56de\u5b66\u7fd2\u3057\u305fMLP\u30e2\u30c7\u30eb\u3092\u4f7f\u7528\u3057\u3066\u5224\u5b9a\u3057\u3066\u3044\u307e\u3059\u304c\u3001\u30d7\u30ed\u30b0\u30e9\u30e0\u306e\u753b\u50cf\u52a0\u5de5\u3068\u8868\u793a\u9806\u304c\u826f\u304f\u306a\u3044\u306e\u3060\u3068\u601d\u3044\u307e\u3059\u3002<br>\u3000<br>\u3000NeoPixel \u306eRGB\u30c7\u30fc\u30bf\u306f\u3001\u52d5\u753b\u306b\u3082\u56db\u89d2\u67a0\u3092\u8868\u793a\u3057\u3066\u3044\u308b LED\u3068LED\u306e\u5883\u754c\u90e8\uff08\u5168\uff17\u30ab\u6240\uff09\u5e73\u5747\u5024\u3068\u3057\u3066\u3044\u307e\u3059\u3002LED\u4e2d\u592e\u90e8\u306f\u304b\u306a\u308a\u660e\u308b\u304f\u3001\u8272\u306e\u9055\u3044\u306b\u3088\u308bRGB\u5024\u306e\u5dee\u304c\u5c11\u306a\u3044\u305f\u3081\u3067\u3059\u3002\uff17\u30ab\u6240\u306e\u5883\u754c\u90e8\u5408\u6210\u753b\u50cf\u3092\u52d5\u753b\u5de6\u4e0a\u306b\u62e1\u5927\u8868\u793a\u3057\u3066\u3044\u307e\u3059\u304c\u3001\u3069\u306e\u8272\u306e\u5834\u5408\u3067\u3082\u767d\u3044\u90e8\u5206\u304c\u6b8b\u3063\u3066\u3044\u307e\u3059\u3002<\/p>\n\n\n\n<figure class=\"wp-block-video\"><video controls src=\"https:\/\/kats-eye.net\/info\/wp-content\/uploads\/2021\/06\/20210601_MLP_TEST.mp4\"><\/video><\/figure>\n\n\n\n<p>\u3000\u3000<\/p>\n\n\n\n<h2>\u30d7\u30ed\u30b0\u30e9\u30e0\u69cb\u6210<\/h2>\n\n\n\n<p>\u3000\u4eca\u56de\u4f5c\u6210\u30d7\u30ed\u30b0\u30e9\u30e0\u3068\u95a2\u9023\u30d5\u30a1\u30a4\u30eb\u3092\u4e0b\u8a18\u8868\u306b\u8a18\u8f09\u3057\u307e\u3059\u3002\u65e2\u5b58\u30d7\u30ed\u30b0\u30e9\u30e0\u3092\u6975\u529b\u5909\u66f4\u305b\u305a\u6d41\u7528\u3057\u305f\u7d50\u679c\u3001\u30d7\u30ed\u30b0\u30e9\u30e0\u6570\u304c\u591a\u304f\u3001\u30d5\u30a1\u30a4\u30eb\u540d\u3082\u3070\u3089\u3070\u3089\u306b\u306a\u3063\u3066\u3057\u307e\u3044\u307e\u3057\u305f\u3002<br>\u3000\u307e\u305f\u3001NeoPixel\u30e9\u30a4\u30d6\u30e9\u30ea\u4f7f\u7528\u306b  root\u6a29\u9650\u304c\u5fc5\u8981\u3067\u3001\u53cd\u5bfe\u306bUSB\u30ab\u30e1\u30e9\u3092root\u6a29\u9650\u3067\u4f7f\u7528\u3059\u308b\u3068\u30a8\u30e9\u30fc\u304c\u767a\u751f\u3057\u305f\u70ba\u3001\u5bfe\u7b56\u3092\u691c\u8a0e\u305b\u305a\u3001\u30d7\u30ed\u30b0\u30e9\u30e0\u3092\u5206\u3051\u3001\u70b9\u706f\u8272\u6307\u793a\u306b\u30c6\u30ad\u30b9\u30c8(No5\uff1ainput_sig.txt)\u3092\u4ecb\u5728\u3055\u305b\u305f\u3053\u3068\u306a\u3069\u3082\u7406\u7531\u3067\u3059\u3002\u305f\u3060\u3001\u3053\u306e\u304a\u304b\u3067\u3001\u30e9\u30ba\u30d1\u30a4\u3067\u306f\u8907\u6570\u30d7\u30ed\u30b0\u30e9\u30e0\u304c\u540c\u6642\u306b\u5b9f\u884c\u3067\u304d\u308b\u3053\u3068\u3092\u77e5\u308a\u307e\u3057\u305f\u3002<br><\/p>\n\n\n\n<figure class=\"wp-block-table\"><table><tbody><tr><td>No<\/td><td>\uff8c\uff67\uff72\uff99\u540d<\/td><td>\u5185\u5bb9<\/td><\/tr><tr><td>1<\/td><td>neo_tes3.py<\/td><td>NeoPixel\u3092\u70b9\u706f\u3002(No5\uff1ainput_sig.txt) \u8a18\u8f09\u8272\u756a\u53f7 [0\uff5e7] \u306b\u5bfe\u5fdc\u3059\u308b\u8272\u70b9\u706f\u3002<\/td><\/tr><tr><td>2<\/td><td>usbcamera4.py<\/td><td>NeoPixel\u64ae\u5f71\u3001LED\u90e8RGB\u6210\u5206\u53d6\u5f97\u3002RGB\u30fbHSV\u6210\u5206, \u8272\u756a\u53f7[0\uff5e7]\u3092CSV\u30d5\u30a1\u30a4\u30eb(No6\uff1aRGB_RESULT.csv)\u306b\u8a18\u9332\u3002<\/td><\/tr><tr><td>3<\/td><td>sk_learn_MLP<br>_s00_study.py<\/td><td>CSV\u30d5\u30a1\u30a4\u30eb(No.6\uff1aRGB_RESULT.csv)\u30c7\u30fc\u30bf\u306b\u3088\u308a  MLP\u6a5f\u68b0\u5b66\u7fd2\u3059\u308b\u3002\u5b66\u7fd2\u30e2\u30c7\u30eb\u3092 (No7\uff1aled_pattern.pickle) \u4fdd\u5b58\u3002<\/td><\/tr><tr><td>4<\/td><td>usbcamera4<br>_MLP_EXEC.py<\/td><td>MLP\u5b66\u7fd2\u30e2\u30c7\u30eb (No7\uff1aled_pattern.pickle) \u8aad\u53d6\u5f8c\u3001NeoPixel \u3092\u7121\u4f5c\u70ba\u306b\u8272\u5909\u66f4\u3002RGB\u5024\u304b\u3089\u3001MLP\u5b66\u7fd2\u30e2\u30c7\u30eb\u3092\u4f7f\u7528\u3057\u8272\u5224\u5b9a\u3059\u308b\u3002<\/td><\/tr><tr><td>5<\/td><td>input_sig.txt<\/td><td>No2 , 4 \u30d7\u30ed\u30b0\u30e9\u30e0\u5b9f\u884c\u6642\u3001\u8272\u756a\u53f7 [0\uff5e7] \u3092\u66f8\u304d\u8fbc\u3080\u3068\u3001No1 \u30d7\u30ed\u30b0\u30e9\u30e0\u304c\u8aad\u53d6\u3001\u8272\u756a\u53f7 [0\uff5e7] \u306b\u5bfe\u5fdc\u3059\u308b\u8272\u3092\u70b9\u706f\u3002<\/td><\/tr><tr><td>6<\/td><td>RGB_RESULT.csv<\/td><td>\u7279\u5fb4\u5024  RGB\u30fbHSV\u6210\u5206\u3001\u8272\u756a\u53f7[0\uff5e7]\u3092\u66f8\u304d\u8fbc\u3093\u3060CSV\u5f62\u5f0f\u30d5\u30a1\u30a4\u30eb\u3002<\/td><\/tr><tr><td>7<\/td><td>led_pattern.pickle<\/td><td>MLP\u6a5f\u68b0\u5b66\u7fd2\u30e2\u30c7\u30eb\u4fdd\u5b58\u30d5\u30a1\u30a4\u30eb\u3002<\/td><\/tr><\/tbody><\/table><figcaption><br><\/figcaption><\/figure>\n\n\n\n<h2>\u30d7\u30ed\u30b0\u30e9\u30e0<\/h2>\n\n\n\n<div class=\"wp-block-group\"><div class=\"wp-block-group__inner-container\">\n<h5>\uff08\uff11\uff09NeoPixel\u70b9\u706f\u30d7\u30ed\u30b0\u30e9\u30e0<\/h5>\n\n\n\n<p>\u3000NeoPixel\u63a5\u7d9a\u30fb\u8a2d\u5b9a\u306f\u3001\u4e0b\u8a18\u306e\u904e\u53bb\u6295\u7a3f\u306b\u8a18\u8f09\u3057\u3066\u3044\u307e\u3059\u3002<br>\u3000https:\/\/kats-eye.net\/info\/2020\/05\/02\/neopixel-2\/<\/p>\n\n\n\n<p>\u3000\u30c6\u30ad\u30b9\u30c8\u30d5\u30a1\u30a4\u30eb(input_sig.txt) \u306b\u8a18\u8f09\u3055\u308c\u305f\u8272\u756a\u53f7 [0\uff5e7] \u306b\u5bfe\u5fdc\u3059\u308b\u8272\u3092NeoPixel\u3067\u70b9\u706f\u3057\u307e\u3059\u3002<\/p>\n<\/div><\/div>\n\n\n\n<div class=\"hcb_wrap\"><pre class=\"prism line-numbers lang-python\" data-file=\"neo_tes3.py\" data-lang=\"Python\"><code>import time\nimport board\nimport neopixel\nimport os\n\npixel_pin = board.D18   # GPIO-PIN-NO\nnum_pixels = 8          # The number of NeoPixels\n\n# The order of the pixel colors - RGB or GRB. Some NeoPixels have red and green reversed!\n# For RGBW NeoPixels, simply change the ORDER to RGBW or GRBW.\nORDER = neopixel.GRB\n\npixels = neopixel.NeoPixel(\n    pixel_pin, num_pixels, brightness=0.2, auto_write=False, pixel_order=ORDER\n)\n\nd_pth = &#39;\/home\/pi\/MySndTest\/csv_led\/input_sig.txt&#39;   # \u30c7\u30fc\u30bf\u4fdd\u5b58\u30c7\u30a3\u30ec\u30af\u30c8\u30ea\u30d1\u30b9\ninp_cur = 0\ninp_bef = 0\n\nwhile(True):\n    if (os.path.exists(d_pth)):\n        try:\n            # \u70b9\u706f\u8272\u6307\u793a\u5185\u5bb9\u8aad\u8fbc\n            f_obj = open(d_pth)\n            inp_str = f_obj.read().replace(&#39;\\n&#39;,&#39;&#39;)\n            f_obj.close()\n        \n            inp_cur = int(inp_str)\n            \n        except Exception as e :\n            inp_cur = 0\n            print(e)\n        \n    else :\n        inp_cur = 0\n        \n    if (inp_cur &lt; 0 and inp_cur &gt; 7) :\n        inp_cur = 0\n\n    # \u70b9\u706f\u8272\u6307\u793a\u5185\u5bb9\u3092RGB\u5909\u63db\u3057\u3002NEOPIXEL\u70b9\u706f\n    if (inp_cur != inp_bef) :\n        b_1 = 1 & inp_cur\n        b_2 = 1 & (inp_cur&gt;&gt;1)\n        b_3 = 1 & (inp_cur&gt;&gt;2)\n\n        pixels.fill((b_3*255,b_2*255,b_1*255))\n        pixels.show()\n        \n        print(inp_cur)\n        inp_bef = inp_cur\n<\/code><\/pre><\/div>\n\n\n\n<p>\u3000\u3000\u3000<\/p>\n\n\n\n<h5>\uff08\uff12\uff09NeoPixel  LED\u90e8RGB\u6210\u5206\u53d6\u5f97\u30d7\u30ed\u30b0\u30e9\u30e0<\/h5>\n\n\n\n<p>\u3000NeoPixel\u3092\u64ae\u5f71\u3057\u3001RGB\u6210\u5206\u3092 CSV\u5f62\u5f0f\u3067\u4fdd\u7ba1\u3057\u307e\u3059\u3002<\/p>\n\n\n\n<div class=\"hcb_wrap\"><pre class=\"prism line-numbers lang-python\" data-file=\"usbcamera4.py\" data-lang=\"Python\"><code>import cv2\nimport numpy as np\nimport time\n\nimport csv\nimport os\n\ncapture = cv2.VideoCapture(0)\nif capture.isOpened() is False:\n  raise IOError\n\nx_l = 277                     # \u64ae\u50cf\u9818\u57df\u958b\u59cb\u70b9\uff08x\uff09\ny_u = 251                     # \u64ae\u50cf\u9818\u57df\u958b\u59cb\u70b9\uff08y\uff09\nx_w = 10                      # \u64ae\u50cf\u9818\u57df\u5e45\ny_h = 25                      # \u64ae\u50cf\u9818\u57df\u9ad8\u3055\n\nx_stp = 26.0                  # \u5206\u5272\u9818\u57df\u30b9\u30c6\u30c3\u30d7\uff08x\uff09\ny_stp = -1.6                  # \u5206\u5272\u9818\u57df\u30b9\u30c6\u30c3\u30d7\uff08y\uff09\np_cnt = 7                     # \u5206\u5272\u9818\u57df\u6570\n\nc_wait = 30                   # \u8272\u5909\u5316\u5f8c\u306e\u5f85\u6a5f\uff99\uff70\uff8c\uff9f\u56de\u6570\uff08\u9045\u5ef6\u51e6\u7406\u7528\uff09\nc_wrt = 100                   # \u5404\u8272\u6bce\u306eCSV\u66f8\u8fbc\u56de\u6570\nttl_cnt = 0                   # \u7dcf\u5408\u30eb\u30fc\u30d7\u56de\u6570\n\ns_pth = &#39;\/home\/pi\/MySndTest\/csv_led\/input_sig.txt&#39;      # \u70b9\u706f\u8272\u6307\u793a\nd_pth = &#39;\/home\/pi\/MySndTest\/csv_led\/&#39;                   # CSV\u4fdd\u5b58\u30c7\u30a3\u30ec\u30af\u30c8\u30ea\u30d1\u30b9\nf_nam = &#39;RGB_RESULT&#39;                                    # CSV\u4fdd\u5b58\u30d5\u30a1\u30a4\u30eb\u540d\n\n# \uff18\u8272\u5bfe\u8c61\u306b\u3059\u308b\nfor sig in range(8) :\n  sig_no = 7-sig\n  cnt = 0\n  csv_cnt = 0\n\n  # \u8272\u5909\u5316\u5f8c\u5f85\u6a5f\uff99\uff70\uff8c\uff9f + \u5404\u8272\u6bce\u306eCSV\u66f8\u8fbc\u56de\u6570\n  for lp_cnt in range(c_wrt + c_wait) :\n    try:\n      if (cnt==0):\n        # \u70b9\u706f\u8272\u6307\u793a\u7528\u30d5\u30a1\u30a4\u30eb\u66f8\u8fbc (0-7)\n        f_txt = open( s_pth ,&#39;w&#39;)\n        f_txt.write(str(sig_no))\n        f_txt.close()\n        print(str(sig_no))\n        time.sleep(0.2)\n        cnt = cnt + 1\n\n      # \u753b\u50cf\u53d6\u8fbc\n      ret, frame = capture.read()\n      if ret is False:\n        raise IOError\n\n      frm_tgt=frame[ y_u : y_u + y_h , x_l : x_l + x_w ]\n\n      # \u5bfe\u8c61\u9818\u57df\u5207\u53d6\u30fb\u5408\u6210\uff08\uff17\u7b87\u6240\uff09\n      for num in range(p_cnt) :\n        x_l_tmp = round(x_l + x_stp * num)\n        y_u_tmp = round(y_u + y_stp * num)\n\n        frm_tmp = frame[ y_u_tmp : y_u_tmp + y_h , x_l_tmp : x_l_tmp + x_w ]\n      \n        if num==0:\n          frm_tgt = frm_tmp\n        else :\n          frm_tgt = cv2.hconcat([frm_tgt , frm_tmp])                                                # \u5408\u6210\n          cv2.rectangle(frame,( x_l_tmp , y_u_tmp ),( x_l_tmp + x_w , y_u_tmp + y_h ),(255,0,0),1)  # \u63cf\u753b\n      \n      cv2.rectangle(frame,( x_l , y_u ),( x_l + x_w , y_u + y_h ),(0,0,255),1)                      # \u63cf\u753b\n    \n      b = round(frm_tgt.T[0].flatten().mean())          # \u9818\u57df\u306eRGB\u5e73\u5747\u5024\uff08R\uff09\n      g = round(frm_tgt.T[1].flatten().mean())          # \u9818\u57df\u306eRGB\u5e73\u5747\u5024\uff08G\uff09\n      r = round(frm_tgt.T[2].flatten().mean())          # \u9818\u57df\u306eRGB\u5e73\u5747\u5024\uff08B\uff09\n\n      f_tgt_hsv= cv2.cvtColor(frm_tgt,cv2.COLOR_BGR2HSV)\n    \n      h = round(f_tgt_hsv.T[0].flatten().mean())        # \u9818\u57df\u306eHSV\u5e73\u5747\u5024\uff08H\uff09\n      s = round(f_tgt_hsv.T[1].flatten().mean())        # \u9818\u57df\u306eHSV\u5e73\u5747\u5024\uff08S\uff09\n      v = round(f_tgt_hsv.T[2].flatten().mean())        # \u9818\u57df\u306eHSV\u5e73\u5747\u5024\uff08V\uff09\n\n      # CSV\u767b\u9332\u30c7\u30fc\u30bf\u6e96\u5099\n      csv_list=[]\n      csv_list.append(b)\n      csv_list.append(g)\n      csv_list.append(r)\n      csv_list.append(h)\n      csv_list.append(s)\n      csv_list.append(v)\n      csv_list.append(sig_no)\n\n      f_pth = d_pth + f_nam + &#39;.csv&#39;                  # \u767b\u9332\u30d5\u30a1\u30a4\u30eb\u540d\n\n      # CSV\u65b0\u898f\u30fb\u8ffd\u52a0\u66f8\u8fbc\n      if(lp_cnt &gt;= c_wait):\n        csv_cnt = csv_cnt + 1\n        if os.path.exists(f_pth) :\n          with open(f_pth, &#39;a&#39;) as f :\n            writer = csv.writer(f)\n            writer.writerow(csv_list)\n                    \n        else:\n          with open(f_pth, &#39;w&#39;) as f :\n            writer = csv.writer(f)\n            writer.writerow(csv_list)\n    \n\n      #cv2.imshow(&#39;frm_tgt&#39;,frm_tgt)\n\n      # \u8272\u5224\u5b9a\u9818\u57df\u3092\u62e1\u5927\u3057\u3001\u53d6\u8fbc\u753b\u50cf\u306b\u8ffd\u52a0\n      img_bai = 5 \n      h_tgt , w_tgt = frm_tgt.shape[:2]\n      frm_tgt_z = cv2.resize(frm_tgt , (int(img_bai * w_tgt) , int(img_bai * h_tgt)))\n      h_tgt_z , w_tgt_z = frm_tgt_z.shape[:2]\n      frame[0:h_tgt_z,0:w_tgt_z] = frm_tgt_z\n      \n      # CSV\u66f8\u8fbc\u5024\uff08RGB\u30fbHSV\uff09\u30fb\u8272\u756a\u53f7\u30fb\u66f8\u8fbc\u56de\u6570\u7b49\u3092\u8868\u793a\n      color_txt1 = &quot;B:&quot; + str(b) + &quot; , G:&quot; + str(g) + &quot; , R:&quot; + str(r) \n      color_txt2 = &quot;H:&quot; + str(h)+&quot; , S:&quot;+str(s)+&quot; , V:&quot;+str(v)\n      cv2.rectangle(frame,( 1 , 1 ),( w_tgt_z , h_tgt_z),(0,0,255),3)\n      cv2.putText(frame,color_txt1,(20,410),cv2.FONT_HERSHEY_PLAIN,1.8,(0,0,255),1,cv2.LINE_AA)\n      cv2.putText(frame,color_txt2,(20,440),cv2.FONT_HERSHEY_PLAIN,1.8,(0,0,255),1,cv2.LINE_AA)\n      cv2.putText(frame,&quot;ColorNo: &quot; + str(sig_no)+&quot; , CsvWrtCnt: &quot; + str(csv_cnt),(20,470),cv2.FONT_HERSHEY_PLAIN,1.8,(0,0,255),1,cv2.LINE_AA)\n\n      cv2.imshow(&#39;frame&#39;,frame)\n    \n   \n    except KeyboardInterrupt:\n      cv2.putText(frame,&quot;Error&quot;,(25,25),cv2.FONT_HERSHEY_PLAIN,2,(0,0,255),1,cv2.LINE_AA)\n\n    if (ttl_cnt == 2) :\n      chk=input(&quot;Start?&quot;)\n    \n    ttl_cnt =ttl_cnt + 1\n    time.sleep(0.1)\n  \n    k = cv2.waitKey(1)\n    if k==27:\n      break\n    \nf_txt = open( s_pth ,&#39;w&#39;)\nf_txt.write(str(0))\nf_txt.close()\n\ncapture.release()\ncv2.destroyAllWindows()<\/code><\/pre><\/div>\n\n\n\n<p>\u3000\u3000<\/p>\n\n\n\n<h5>\uff08\uff13\uff09MLP\u6a5f\u68b0\u5b66\u7fd2\u30d7\u30ed\u30b0\u30e9\u30e0<\/h5>\n\n\n\n<p> \u3000MLP\u3068 SVM\u306e\u30d7\u30ed\u30b0\u30e9\u30e0\u4e0a\u3067\u3001\u7279\u306b\u7570\u306a\u308b\u306e\u306f \u884c\u756a\uff11\u306e\u30e9\u30a4\u30d6\u30e9\u30ea\u8aad\u8fbc\u3068\u884c\u756a\uff13\uff15\u5b66\u7fd2\u30e2\u30c7\u30eb\u306e\u5b9a\u7fa9\u306e\u7b87\u6240\u3067\u3059\u3002\u884c\u756a\uff13\uff15\u306eMLP\u5b66\u7fd2\u30e2\u30c7\u30eb\u5b9a\u7fa9\u306b\u3064\u3044\u3066\u3001\u8003\u3048\u65b9\u3092\u6574\u7406\u3057\u3066\u304a\u304d\u307e\u3059\u3002<\/p>\n\n\n\n<div class=\"hcb_wrap\"><pre class=\"prism line-numbers lang-plain\" data-file=\"MLP\u30e2\u30c7\u30eb\u5b9a\u7fa9\"><code>clf = MLPClassifier(hidden_layer_sizes=(100, ), max_iter=10000, tol=0.00001, random_state=1)<\/code><\/pre><\/div>\n\n\n\n<p>\u3000MLP\u5b66\u7fd2\u30e2\u30c7\u30eb\u5b9a\u7fa9\u306e\u8a2d\u5b9a\u5185\u5bb9\u3067\u3059\u3002<\/p>\n\n\n\n<figure class=\"wp-block-table\"><table><tbody><tr><td>No<\/td><td>\u8a2d\u5b9a\u9805\u76ee<\/td><td>\u5185\u5bb9<\/td><\/tr><tr><td>1<\/td><td>hidden_layer_sizes=(100, )<\/td><td>100\u500b\u306e\u30cb\u30e5\u30fc\u30ed\u30f3\u3067\u69cb\u6210\u3059\u308b\u4e2d\u9593\u5c64\u3092\uff11\u5c64\u5b9a\u7fa9\u3002\u4f8b\u3048\u3070 (100,50,100) \u306f\u30013\u5c64\u306e\u4e2d\u9593\u5c64\u3092\u5b9a\u7fa9\u3059\u308b\u3002<\/td><\/tr><tr><td>2<\/td><td>max_iter=10000<\/td><td>\u5b66\u7fd2\u904e\u7a0b\u3067\u5165\u529b\u306b\u5bfe\u3059\u308b\u51fa\u529b\u304c\u4e00\u81f4\u3059\u308b\u69d8\u306b\u5404\u30cb\u30e5\u30fc\u30ed\u30f3\u3078\u306e\u5165\u529b\u5024\u306e\u91cd\u307f\u3065\u3051\u3092\u884c\u3046\u30b7\u30ca\u30d7\u30b9\u5f37\u5ea6\u8abf\u6574\u3092\u884c\u3046\u3002\u8abf\u6574\u56de\u6570\u304c\u8a2d\u5b9a\u3092\u8d85\u3048\u308b\u3068\u5b66\u7fd2\u3092\u7d42\u4e86\u3059\u308b\u3002<\/td><\/tr><tr><td>3<\/td><td>tol=0.00001<\/td><td>\u5b66\u7fd2\u904e\u7a0b\u3067\u30b7\u30ca\u30d7\u30b9\u5f37\u5ea6\u8abf\u6574\u306b\u3088\u308a\u3001\u5165\u529b\u306b\u5bfe\u3059\u308b\u51fa\u529b\u304c\u5b8c\u5168\u306b\u4e00\u81f4\u3059\u308b\u3068\u640d\u5931\u95a2\u6570\u51fa\u529b\u5024\u306f\uff10\u306b\u306a\u308b\u3002\uff11\u56de\u306e\u8abf\u6574\u3067\u640d\u5931\u95a2\u6570\u51fa\u529b\u5024\u5909\u5316\u304c\u8a2d\u5b9a\u5024\u4ee5\u4e0b\u306e\u5834\u5408\u304c\uff13\u56de\u7d9a\u304f\u3068\u5b66\u7fd2\u3092\u7d42\u4e86\u3059\u308b\u3002<\/td><\/tr><tr><td>4<\/td><td>random_state=1<\/td><td>\u4e71\u6570\u7cfb\u5217\u8a2d\u5b9a\u3002\u7cfb\u5217\u304c\u540c\u3058\u3060\u3068\u518d\u5b9f\u884c\u3057\u3066\u3082\u540c\u3058\u7d50\u679c\u306b\u306a\u308b\u3089\u3057\u3044\u3002\u2018none\u2019 \u3092\u8a2d\u5b9a\u3059\u308b\u3068\u6bce\u56de\u4e71\u6570\u7cfb\u5217\u3092\u5909\u66f4\u3059\u308b\u3002<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<p>\u3000CSV\u30d5\u30a1\u30a4\u30eb(RGB_RESULT.csv)\u306e\u30c7\u30fc\u30bf\u3092\u8aad\u307f\u8fbc\u3093\u3067\u3001MLP\u6a5f\u68b0\u5b66\u7fd2\u3059\u308b\u30d7\u30ed\u30b0\u30e9\u30e0\u3067\u3059\u3002\u5b66\u7fd2\u30e2\u30c7\u30eb\u306f (led_pattern.pickle) \u306b\u4fdd\u5b58\u3057\u307e\u3059\u3002<\/p>\n\n\n\n<div class=\"hcb_wrap\"><pre class=\"prism line-numbers lang-python\" data-file=\"sk_learn_MLP_s00_study.py\" data-lang=\"Python\"><code>from sklearn.neural_network import MLPClassifier\nimport numpy as np\nimport pickle\nimport csv\n\ncsv_fil = [&#39;bk20210531_RGB_RESULT.csv&#39;]                             # CSV\u30d5\u30a1\u30a4\u30eb\u540d\ndt_frq_arr = np.empty((0,3) , int)                                  # \u30c7\u30fc\u30bf\u683c\u7d0d numpy.ndarray\ndt_rtn_arr = np.empty((0) , int)\n\nfor f_num in range(len(csv_fil)) :                                  # \u30d5\u30a1\u30a4\u30eb\u6570\u5206\u30eb\u30fc\u30d7\u51e6\u7406\n    dat_frg = []                                                    # \u4e00\u6642\u4fdd\u5b58\u30ea\u30b9\u30c8\n    with open(&#39;\/home\/pi\/MySndTest\/csv_led\/&#39; + csv_fil[f_num]) as f: # CSV\u30d5\u30a1\u30a4\u30eb\u958b\u304f\n        reader = csv.reader(f)\n        for row in reader :                                         # \u30d5\u30a1\u30a4\u30eb\u884c\u30eb\u30fc\u30d7\n            if len(row)&gt;=2 :                                        # \uff11\u884c\u306b\uff12\u30c7\u30fc\u30bf\u4ee5\u4e0a\u3092\u5bfe\u8c61\n                tmp=[]\n                tmp.append(int(float(row[0])))                      # \u6587\u5b57\u5217\u3092int\u306b\u5909\u63db\n                tmp.append(int(float(row[1])))                      # \u6587\u5b57\u5217\u3092int\u306b\u5909\u63db\n                tmp.append(int(float(row[2])))                      # \u6587\u5b57\u5217\u3092int\u306b\u5909\u63db  \n                dat_frg.append(tmp)                                 # \u4e00\u6642\u4fdd\u5b58\u30ea\u30b9\u30c8\u306b\u8ffd\u52a0\n\n                dt_rtn_arr = np.append(dt_rtn_arr,int(float(row[6])))\n                \n    dt_frq = np.array(dat_frg)                                      # numpy.ndarray\u306b\u5909\u63db \n    dt_frq_arr = np.append( dt_frq_arr , dt_frq , axis=0 )\n\nprint(dt_frq_arr)\nprint(dt_rtn_arr)\nprint(&quot;&quot;)\n\nrtn=input(&quot;&quot;)\n\n# \u5206\u985e\u7528\u306b\u591a\u5c64\u30cb\u30e5\u30fc\u30e9\u30eb\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u3092\u7528\u610f\n# \u30e9\u30f3\u30c0\u30e0\u306a\u8981\u7d20\u3092\u56fa\u5b9a\u3057\u305f\u5834\u5408\uff08\u6bce\u56de\u540c\u3058\u7d50\u679c\uff09\nclf = MLPClassifier(hidden_layer_sizes=(100, ), max_iter=10000, tol=0.00001, random_state=1)\n# \u6bce\u56de\u30e9\u30f3\u30c0\u30e0\u306a\u5834\u5408\n#clf = MLPClassifier(hidden_layer_sizes=(100, ), max_iter=10000, tol=0.00001, random_state=None)\n\nclf.fit(dt_frq_arr , dt_rtn_arr)                                    # \u5b66\u7fd2\n\n# \u30c6\u30b9\u30c8\u30c7\u30fc\u30bf\u306b\u5bfe\u3057\u3066\u4e88\u6e2c\ntest_data = [[250,227,182],[255,230,177],[83,90,92],[245,230,177]]  # \u30c6\u30b9\u30c8\u30c7\u30fc\u30bf\ntest_label = clf.predict(test_data)                                 # \u7d50\u679c\uff08\u4e88\u6e2c\u5024\uff09\n\n# \u30c6\u30b9\u30c8\u7d50\u679c\u306e\u8868\u793a\nprint(&quot;\u5165\u529b\u30c7\u30fc\u30bf\uff1a{0}&quot;.format(test_data))\nprint(&quot;\u4e88\u6e2c\u7d50\u679c  :{0}&quot;.format(test_label))\nprint(&quot;&quot;)\n\n# \u5b66\u7fd2\u30e2\u30c7\u30eb\u4fdd\u5b58\npickle.dump(clf , open(&#39;led_pattern.pickle&#39;,mode=&#39;wb&#39;))\nprint(&quot;finished&quot;)<\/code><\/pre><\/div>\n\n\n\n<p>\u3000<\/p>\n\n\n\n<h5>\uff08\uff14\uff09NeoPixel\u8272\u5224\u5b9a\u30d7\u30ed\u30b0\u30e9\u30e0\uff08MLP\u5229\u7528\uff09<\/h5>\n\n\n\n<p>\u3000MLP\u5b66\u7fd2\u30e2\u30c7\u30eb (led_pattern.pickle) \u8aad\u53d6\u5f8c\u3001NeoPixel \u3092\u7121\u4f5c\u70ba\u306b\u8272\u5909\u66f4\u3057\u3001RGB\u5024\u304b\u3089MLP\u5b66\u7fd2\u30e2\u30c7\u30eb\u3092\u4f7f\u7528\u3057\u8272\u5224\u5b9a\u3059\u308b\u30d7\u30ed\u30b0\u30e9\u30e0\u3067\u3059\u3002<\/p>\n\n\n\n<div class=\"hcb_wrap\"><pre class=\"prism line-numbers lang-python\" data-file=\"usbcamera4_MLP_EXEC.py\" data-lang=\"Python\"><code>import cv2\nimport numpy as np\nimport time\n\nimport os\nimport random\nimport pickle\n\nclf = pickle.load(open(&#39;led_pattern.pickle&#39; , mode=&#39;rb&#39;)) # \u5b66\u7fd2\u30e2\u30c7\u30eb\u30ed\u30fc\u30c9\n\ncapture = cv2.VideoCapture(0)\nif capture.isOpened() is False:\n  raise IOError\n\nx_l = 279                     # \u64ae\u50cf\u9818\u57df\u958b\u59cb\u70b9\uff08x\uff09\ny_u = 256                     # \u64ae\u50cf\u9818\u57df\u958b\u59cb\u70b9\uff08y\uff09\nx_w = 10                      # \u64ae\u50cf\u9818\u57df\u5e45\ny_h = 25                      # \u64ae\u50cf\u9818\u57df\u9ad8\u3055\n\nx_stp = 26.0                  # \u5206\u5272\u9818\u57df\u30b9\u30c6\u30c3\u30d7\uff08x\uff09\ny_stp = -1.6                  # \u5206\u5272\u9818\u57df\u30b9\u30c6\u30c3\u30d7\uff08y\uff09\np_cnt = 7                     # \u5206\u5272\u9818\u57df\u6570\n\nc_wait = 10                   # \u8272\u5909\u5316\u5f8c\u306e\u5f85\u6a5f\uff99\uff70\uff8c\uff9f\u56de\u6570\uff08\u9045\u5ef6\u51e6\u7406\u7528\uff09\n\n\ns_pth = &#39;\/home\/pi\/MySndTest\/csv_led\/input_sig.txt&#39;      # \u70b9\u706f\u8272\u6307\u793a\nd_pth = &#39;\/home\/pi\/MySndTest\/csv_led\/&#39;                   # CSV\u4fdd\u5b58\u30c7\u30a3\u30ec\u30af\u30c8\u30ea\u30d1\u30b9\nf_nam = &#39;RGB_RESULT&#39;                                    # CSV\u4fdd\u5b58\u30d5\u30a1\u30a4\u30eb\u540d\n\nwhile (True) :\n  sig_no = random.randint(0,7)  # \u4e71\u6570\u3067\u8272\u756a\u53f7\u3092\u6c7a\u5b9a\uff080-7\uff09\n  c_wrt = random.randint(0,20)  # \u30eb\u30fc\u30d7\u56de\u6570\n  cnt = 0\n  csv_cnt = 0\n\n  for lp_cnt in range(c_wrt + c_wait) :\n    try:\n      if (cnt==0):\n        # \u70b9\u706f\u8272\u6307\u793a\u7528\u30d5\u30a1\u30a4\u30eb\u66f8\u8fbc (0-7)\n        f_txt = open( s_pth ,&#39;w&#39;)\n        f_txt.write(str(sig_no))\n        f_txt.close()\n        print(str(sig_no))\n        time.sleep(0.2)\n        cnt = cnt + 1\n\n      # \u753b\u50cf\u53d6\u8fbc\n      ret, frame = capture.read()\n      if ret is False:\n        raise IOError\n\n      frm_tgt=frame[ y_u : y_u + y_h , x_l : x_l + x_w ]\n\n      # \u5bfe\u8c61\u9818\u57df\u5207\u53d6\u30fb\u5408\u6210\uff08\uff17\u7b87\u6240\uff09\n      for num in range(p_cnt) :\n        x_l_tmp = round(x_l + x_stp * num)\n        y_u_tmp = round(y_u + y_stp * num)\n\n        frm_tmp = frame[ y_u_tmp : y_u_tmp + y_h , x_l_tmp : x_l_tmp + x_w ]\n      \n        if num==0:\n          frm_tgt = frm_tmp\n        else :\n          frm_tgt = cv2.hconcat([frm_tgt , frm_tmp])\n          cv2.rectangle(frame,( x_l_tmp , y_u_tmp ),( x_l_tmp + x_w , y_u_tmp + y_h ),(255,0,0),1)\n      \n      cv2.rectangle(frame,( x_l , y_u ),( x_l + x_w , y_u + y_h ),(0,0,255),1)\n    \n      b = round(frm_tgt.T[0].flatten().mean())          # \u9818\u57df\u306eRGB\u5e73\u5747\u5024\uff08R\uff09\n      g = round(frm_tgt.T[1].flatten().mean())          # \u9818\u57df\u306eRGB\u5e73\u5747\u5024\uff08G\uff09          \n      r = round(frm_tgt.T[2].flatten().mean())          # \u9818\u57df\u306eRGB\u5e73\u5747\u5024\uff08B\uff09\n\n      # \u5b66\u7fd2\u30e2\u30c7\u30eb\u5165\u529b\u30c7\u30fc\u30bf\u6e96\u5099\n      temp_data = []\n      temp_data.append(int(b))\n      temp_data.append(int(g))\n      temp_data.append(int(r))\n\n      inp_data = []\n      inp_data.append(temp_data)                         # \u5165\u529b\u30c7\u30fc\u30bf\uff08BGR\uff09\n      rtn_label = clf.predict(inp_data)                  # \u7d50\u679c\uff08\u4e88\u6e2c\u5024\uff09\n\n      # \u8272\u5224\u5b9a\u9818\u57df\u3092\u62e1\u5927\u3057\u3001\u53d6\u8fbc\u753b\u50cf\u306b\u8ffd\u52a0\n      img_bai = 5 \n      h_tgt , w_tgt = frm_tgt.shape[:2]\n      frm_tgt_z = cv2.resize(frm_tgt , (int(img_bai * w_tgt) , int(img_bai * h_tgt)))\n      h_tgt_z , w_tgt_z = frm_tgt_z.shape[:2]\n      \n      frame[0:h_tgt_z,0:w_tgt_z] = frm_tgt_z\n\n      # CSV\u66f8\u8fbc\u5024\uff08RGB\u30fbHSV\uff09\u30fb\u8272\u756a\u53f7\u30fb\u66f8\u8fbc\u56de\u6570\u7b49\u3092\u8868\u793a\n      color_txt1 = &quot;B:&quot; + str(b) + &quot; , G:&quot; + str(g) + &quot; , R:&quot; + str(r) \n      cv2.rectangle(frame,( 1 , 1 ),( w_tgt_z , h_tgt_z),(0,0,255),3)\n\n      # \u7d50\u679c\uff08\u4e88\u6e2c\u5024\uff09\u3092\u8272\u540d\u79f0\u306b\u5909\u63db\n      if (rtn_label[0]==sig_no):\n        if (sig_no==7):\n          col_n=&quot;White&quot;\n        elif (sig_no==6):\n          col_n=&quot;Yellow&quot;\n        elif (sig_no==5):\n          col_n=&quot;Pink&quot;\n        elif (sig_no==4):\n          col_n=&quot;Red&quot;\n        elif (sig_no==3):\n          col_n=&quot;Light blue&quot;\n        elif (sig_no==2):\n          col_n=&quot;Green&quot;\n        elif (sig_no==1):\n          col_n=&quot;Blue&quot;\n        elif (sig_no==0):\n          col_n=&quot;No Light&quot;\n        else :\n          col_n=&quot;- Unknown Color -&quot;\n          \n        jdg_str = col_n + &quot; !&quot;\n        \n      else:\n        jdg_str = &quot;Thinking Now.&quot;\n\n      # \u7d50\u679c\uff08\u4e88\u6e2c\u5024\uff09\u30fbCSV\u66f8\u8fbc\u5024\uff08RGB\u30fbHSV\uff09\u30fb\u8272\u756a\u53f7\u30fb\u66f8\u8fbc\u56de\u6570\u7b49\u3092\u8868\u793a\n      cv2.putText(frame,jdg_str,(20,360),cv2.FONT_HERSHEY_PLAIN,4,(0,0,255),3,cv2.LINE_AA)\n      cv2.putText(frame,&quot;Predict Color No : &quot; + str(rtn_label[0]) ,(20,400),cv2.FONT_HERSHEY_PLAIN,1.8,(255,0,0),1,cv2.LINE_AA)\n      cv2.putText(frame,&quot;Output Color No : &quot; + str(sig_no),(20,435),cv2.FONT_HERSHEY_PLAIN,1.8,(255,0,0),1,cv2.LINE_AA)\n      cv2.putText(frame,color_txt1,(20,470),cv2.FONT_HERSHEY_PLAIN,1.8,(255,0,0),1,cv2.LINE_AA)\n      \n      cv2.imshow(&#39;frame&#39;,frame)\n    \n   \n    except KeyboardInterrupt:\n      cv2.putText(frame,&quot;Error&quot;,(25,25),cv2.FONT_HERSHEY_PLAIN,2,(0,0,255),1,cv2.LINE_AA)\n\n    time.sleep(0.1)\n  \n    k = cv2.waitKey(1)\n    if k==27:\n      break\n    \nf_txt = open( s_pth ,&#39;w&#39;)\nf_txt.write(str(0))\nf_txt.close()\n\ncapture.release()\ncv2.destroyAllWindows()<\/code><\/pre><\/div>\n\n\n\n<p>\u3000<\/p>\n\n\n\n<h5>\uff08\uff15\uff09\u5b66\u7fd2\u30c7\u30fc\u30bf\u4f8b<\/h5>\n\n\n\n<p>\u3000\u6b21\u306b\u5b66\u7fd2\u30c7\u30fc\u30bf\u4f8b\uff08\u629c\u7c8b\uff09\u3092\u793a\u3057\u307e\u3059\u3002\u3000<br>\u3000\u5de6\u304b\u3089   R\u30fbG\u30fbB\u30fbH\u30fbS\u30fbV \u6210\u5206\u3068\u306a\u3063\u3066\u3044\u307e\u3059\u3002\u6700\u53f3\u306f\u3001\u8272\u756a\u53f7 [0\uff5e7] \u306b\u306a\u3063\u3066\u3044\u307e\u3059\u3002<\/p>\n\n\n\n<div class=\"hcb_wrap\"><pre class=\"prism line-numbers lang-plain\" data-file=\"RGB_RESULT.csv\"><code>\u3000\u3000\uff1c\u7701\u7565\uff1e\n250,228,189,96,63,250,7\n250,228,189,96,63,250,7\n250,228,189,96,63,250,7\n250,228,189,96,63,250,7\n250,228,189,96,63,250,7\n158,186,190,28,47,190,6\n158,185,189,27,47,189,6\n158,185,189,28,47,190,6\n158,185,189,28,47,190,6\n\u3000\u3000\uff1c\u7701\u7565\uff1e<\/code><\/pre><\/div>\n\n\n\n<p>\u3000NeoPixel\u70b9\u706f\u6642\u306b  [ input_sig.txt ] \u306b\u66f8\u304d\u8fbc\u3080\u8272\u756a\u53f7\u3068\u8272\u540d\u79f0\u3001NeoPixel\u30e9\u30a4\u30d6\u30e9\u30ea\u306b\u6307\u5b9a\u3059\u308bRGB\u5024\u3092\u8868\u306b\u793a\u3057\u307e\u3059\u3002<\/p>\n\n\n\n<figure class=\"wp-block-table\"><table><tbody><tr><td class=\"has-text-align-center\" data-align=\"center\">\u8272\u756a\u53f7<\/td><td class=\"has-text-align-center\" data-align=\"center\">\u8272\u540d\u79f0<\/td><td class=\"has-text-align-center\" data-align=\"center\">R<\/td><td class=\"has-text-align-center\" data-align=\"center\">G<\/td><td class=\"has-text-align-center\" data-align=\"center\">B<\/td><\/tr><tr><td class=\"has-text-align-center\" data-align=\"center\">0<\/td><td class=\"has-text-align-center\" data-align=\"center\">\u6d88\u706f\u72b6\u614b<\/td><td class=\"has-text-align-center\" data-align=\"center\">0<\/td><td class=\"has-text-align-center\" data-align=\"center\">0<\/td><td class=\"has-text-align-center\" data-align=\"center\">0<\/td><\/tr><tr><td class=\"has-text-align-center\" data-align=\"center\">1<\/td><td class=\"has-text-align-center\" data-align=\"center\">\u9752<\/td><td class=\"has-text-align-center\" data-align=\"center\">0<\/td><td class=\"has-text-align-center\" data-align=\"center\">0<\/td><td class=\"has-text-align-center\" data-align=\"center\">255<\/td><\/tr><tr><td class=\"has-text-align-center\" data-align=\"center\">2<\/td><td class=\"has-text-align-center\" data-align=\"center\">\u7dd1<\/td><td class=\"has-text-align-center\" data-align=\"center\">0<\/td><td class=\"has-text-align-center\" data-align=\"center\">255<\/td><td class=\"has-text-align-center\" data-align=\"center\">0<\/td><\/tr><tr><td class=\"has-text-align-center\" data-align=\"center\">3<\/td><td class=\"has-text-align-center\" data-align=\"center\">\u307f\u305a\u3044\u308d<\/td><td class=\"has-text-align-center\" data-align=\"center\">0<\/td><td class=\"has-text-align-center\" data-align=\"center\">255<\/td><td class=\"has-text-align-center\" data-align=\"center\">255<\/td><\/tr><tr><td class=\"has-text-align-center\" data-align=\"center\">4<\/td><td class=\"has-text-align-center\" data-align=\"center\">\u8d64<\/td><td class=\"has-text-align-center\" data-align=\"center\">255<\/td><td class=\"has-text-align-center\" data-align=\"center\">0<\/td><td class=\"has-text-align-center\" data-align=\"center\">0<\/td><\/tr><tr><td class=\"has-text-align-center\" data-align=\"center\">5<\/td><td class=\"has-text-align-center\" data-align=\"center\">\u30d4\u30f3\u30af<\/td><td class=\"has-text-align-center\" data-align=\"center\">255<\/td><td class=\"has-text-align-center\" data-align=\"center\">0<\/td><td class=\"has-text-align-center\" data-align=\"center\">255<\/td><\/tr><tr><td class=\"has-text-align-center\" data-align=\"center\">6<\/td><td class=\"has-text-align-center\" data-align=\"center\">\u9ec4<\/td><td class=\"has-text-align-center\" data-align=\"center\">255<\/td><td class=\"has-text-align-center\" data-align=\"center\">255<\/td><td class=\"has-text-align-center\" data-align=\"center\">0<\/td><\/tr><tr><td class=\"has-text-align-center\" data-align=\"center\">7<\/td><td class=\"has-text-align-center\" data-align=\"center\">\u767d<\/td><td class=\"has-text-align-center\" data-align=\"center\">255<\/td><td class=\"has-text-align-center\" data-align=\"center\">255<\/td><td class=\"has-text-align-center\" data-align=\"center\">255<\/td><\/tr><\/tbody><\/table><figcaption><br><br><\/figcaption><\/figure>\n\n\n\n<h2>\u307e\u3068\u3081<\/h2>\n\n\n\n<p>\u3000\u5b9f\u969b\u306b\u3084\u3063\u3066\u307f\u308b\u3053\u3068\u3067\u3001\u4f7f\u3044\u65b9\u306e\u30a4\u30e1\u30fc\u30b8\u304c\u3064\u304b\u3081\u307e\u3057\u305f\u3002\u5b9f\u7528\u74b0\u5883\u3067\u3082\u8a66\u3057\u3066\u307f\u305f\u3044\u3068\u601d\u3044\u307e\u3059\u3002<br>\u3000\u307e\u305f\u3001\u6700\u521d\u306f\u96fb\u8a71\u7740\u4fe1\u97f3\u306e\u5206\u985e\u306b\u4f7f\u3044\u305f\u304b\u3063\u305f\u306e\u3067\u3059\u304c\u3001\u5468\u6ce2\u6570\u6210\u5206\uff08\u7279\u5fb4\u5024\uff09\u306e\u6b21\u5143\u6570\u304c\u540c\u3058\u3067\u306f\u306a\u3044\u306e\u3067\u3001NeoPixel\u306e\u8272\u5206\u985e\u3067\u8a66\u3057\u307e\u3057\u305f\u3002\u3053\u306e\u69d8\u306a\u5834\u5408\u306e\u51e6\u7406\u65b9\u6cd5\u306a\u3069\u3082\u3001\u4eca\u5f8c\u3044\u308d\u3044\u308d\u8a66\u3057\u3066\u307f\u305f\u3044\u3068\u601d\u3044\u307e\u3059\u3002<br><br><\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u6982\u8981 \u3000scikit-learn \u591a\u5c64\u30d1\u30fc\u30bb\u30d7\u30c8\u30ed\u30f3\uff08MLP\uff1aMulitilayer Perceptron\uff09\u3092\u4f7f\u7528\u3057\u307e\u3059\u3002\u524d\u56de\u6295\u7a3f\u306e SVM \u306f\u3001\u57fa\u672c\uff12\u30af\u30e9\u30b9\u5206\u985e\u5bfe\u5fdc\u3067\u3057\u305f\u304c\u3001MLP \u306f\uff13\u30af\u30e9\u30b9\u4ee5\u4e0a\u306e\u5206\u985e\u304c\u53ef\u80fd\u3068\u306e\u3053\u3068\u3067 &hellip; <a href=\"https:\/\/kats-eye.net\/info\/2021\/06\/02\/raspi-scikit-learn-mlp\/\" class=\"more-link\">\u7d9a\u304d\u3092\u8aad\u3080 <span class=\"screen-reader-text\">\u30e9\u30ba\u30d1\u30a4\uff14 SCIKIT-LEARN \u3067\u6a5f\u68b0\u5b66\u7fd2\uff08MLP\uff09\u3092\u5b66\u3076<\/span> <span class=\"meta-nav\">&rarr;<\/span><\/a><\/p>\n","protected":false},"author":1,"featured_media":5948,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":[],"categories":[110],"tags":[168,116,111,166],"_links":{"self":[{"href":"https:\/\/kats-eye.net\/info\/wp-json\/wp\/v2\/posts\/5909"}],"collection":[{"href":"https:\/\/kats-eye.net\/info\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/kats-eye.net\/info\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/kats-eye.net\/info\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/kats-eye.net\/info\/wp-json\/wp\/v2\/comments?post=5909"}],"version-history":[{"count":36,"href":"https:\/\/kats-eye.net\/info\/wp-json\/wp\/v2\/posts\/5909\/revisions"}],"predecessor-version":[{"id":5953,"href":"https:\/\/kats-eye.net\/info\/wp-json\/wp\/v2\/posts\/5909\/revisions\/5953"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/kats-eye.net\/info\/wp-json\/wp\/v2\/media\/5948"}],"wp:attachment":[{"href":"https:\/\/kats-eye.net\/info\/wp-json\/wp\/v2\/media?parent=5909"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/kats-eye.net\/info\/wp-json\/wp\/v2\/categories?post=5909"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/kats-eye.net\/info\/wp-json\/wp\/v2\/tags?post=5909"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}