[enh] Adds an opencv realtime video capture + point detection

clitools/generators/opencv2.py

@@ -0,0 +1,47 @@
+import cv2
+import numpy as np
+from PIL import Image
+from numpy import asarray
+import potrace
+color = 65280
+camera = cv2.VideoCapture(0)
+camera.set(cv2.CAP_PROP_FRAME_WIDTH, 160)
+camera.set(cv2.CAP_PROP_FRAME_HEIGHT, 120)
+camera.set(cv2.CAP_PROP_FPS, 5)
+print("camera FPS:{} height:{} width:{}".format(camera.get(cv2.CAP_PROP_FPS), camera.get(cv2.CAP_PROP_FRAME_WIDTH), camera.get(cv2.CAP_PROP_FRAME_HEIGHT)))
+while(camera.isOpened()):
+    pl = []
+    ret, frame = camera.read()
+    if ret==True:
+        gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
+        cv2.Canny(gray, 100,120 )
+        (thresh, gray) = cv2.threshold(gray, 127, 255, cv2.THRESH_BINARY)
+        nb = cv2.cvtColor(asarray(gray), cv2.COLOR_RGB2BGR)
+        image = Image.fromarray(nb).convert("1")
+        image.save( "/tmp/cv.png")
+        bmp = potrace.Bitmap( asarray( image ) )
+        # Trace the bitmap to a path
+        path= bmp.trace(turdsize=16,alphamax=0.0, opticurve=0, opttolerance=1.0)
+        # Iterate over path curves
+        for curve in path:
+            start = curve.start_point
+            pl.append([start[0],start[1],0])
+            pl.append([start[0],start[1],color])
+            for segment in curve:
+                end_point_x, end_point_y = segment.end_point
+                if segment.is_corner:
+                    #c_x, c_y = segment.c
+                    pass
+                else:
+                    c1_x, c1_y = segment.c1
+                    x, y = segment.c2
+                    pl.append([x,y,color])
+            pl.append([start[0],start[1],0])
+            ret, frame = camera.read()
+            #print(len(pl), flush = True)
+        print(pl, flush = True)
+    else:
+        break
+
+# Release everything if job is finished
+camera.release()