段错误

Author: makelove

cv-Kinect深度相机/OpenNI《OpenCV Computer Vision with Python》/OpenCV Computer Vision with Python.md

@@ -0,0 +1,3 @@
+## OpenCV Computer Vision with Python
+
+- 

cv-Kinect深度相机/freenect_test1.py

@@ -0,0 +1,75 @@
+# -*- coding: utf-8 -*-
+# @Time    : 2018/1/7 11:33
+# @Author  : play4fun
+# @File    : freenect_test1.py
+# @Software: PyCharm
+
+"""
+freenect_test1.py:
+不行。段错误 (核心已转储)
+"""
+
+import pygame
+import numpy as np
+import sys
+from freenect import sync_get_depth as get_depth
+
+
+def make_gamma():
+    """
+    Create a gamma table
+    """
+    num_pix = 2048 # there's 2048 different possible depth values
+    npf = float(num_pix)
+    _gamma = np.empty((num_pix, 3), dtype=np.uint16)
+    for i in range(num_pix):
+        v = i / npf
+        v = pow(v, 3) * 6
+        pval = int(v * 6 * 256)
+        lb = pval & 0xff
+        pval >>= 8
+        if pval == 0:
+            a = np.array([255, 255 - lb, 255 - lb], dtype=np.uint8)
+        elif pval == 1:
+            a = np.array([255, lb, 0], dtype=np.uint8)
+        elif pval == 2:
+            a = np.array([255 - lb, lb, 0], dtype=np.uint8)
+        elif pval == 3:
+            a = np.array([255 - lb, 255, 0], dtype=np.uint8)
+        elif pval == 4:
+            a = np.array([0, 255 - lb, 255], dtype=np.uint8)
+        elif pval == 5:
+            a = np.array([0, 0, 255 - lb], dtype=np.uint8)
+        else:
+            a = np.array([0, 0, 0], dtype=np.uint8)
+
+        _gamma[i] = a
+    return _gamma
+
+
+gamma = make_gamma()
+
+
+if __name__ == "__main__":
+    fpsClock = pygame.time.Clock()
+    FPS = 30 # kinect only outputs 30 fps
+    disp_size = (640, 480)
+    pygame.init()
+    screen = pygame.display.set_mode(disp_size)
+    font = pygame.font.Font('slkscr.ttf', 32) #TODO provide your own font
+    while True:
+        events = pygame.event.get()
+        for e in events:
+            if e.type == pygame.QUIT:
+                sys.exit()
+        fps_text = "FPS: {0:.2f}".format(fpsClock.get_fps())
+        # draw the pixels
+
+        depth = np.rot90(get_depth()[0]) # get the depth readinngs from the camera
+        pixels = gamma[depth] # the colour pixels are the depth readings overlayed onto the gamma table
+        temp_surface = pygame.Surface(disp_size)
+        pygame.surfarray.blit_array(temp_surface, pixels)
+        pygame.transform.scale(temp_surface, disp_size, screen)
+        screen.blit(font.render(fps_text, 1, (255, 255, 255)), (30, 30))
+        pygame.display.flip()
+        fpsClock.tick(FPS)

cv-Kinect深度相机/kinect_test.py

@@ -35,20 +35,23 @@ def get_depth():
 
 
 if __name__ == "__main__":
-    print 'start'
-    while 1:
-        # get a frame from RGB camera
-        frame = get_video()
-        print 'frame',type(frame)
-        # get a frame from depth sensor
-        depth = get_depth()
-        print 'depth', type(depth)
-        # display RGB image
-        cv2.imshow('RGB image', frame)
-        # display depth image
-        cv2.imshow('Depth image', depth)
-
-        # quit program when 'esc' key is pressed
-        k = cv2.waitKey(5) & 0xFF
-        if k == 27:
-            break
+    # print 'start'
+    try:
+        while 1:
+            # get a frame from RGB camera
+            frame = get_video()
+            # print 'frame',type(frame)
+            # get a frame from depth sensor
+            depth = get_depth()
+            # print 'depth', type(depth)
+            # display RGB image
+            cv2.imshow('RGB image', frame)
+            # display depth image
+            cv2.imshow('Depth image', depth)
+
+            # quit program when 'esc' key is pressed
+            k = cv2.waitKey(5) & 0xFF
+            if k == 27:
+                break
+    except Exception as e:
+        print(e)

参考图书Books.md

@@ -1,4 +1,4 @@
 - 参考图书Books
 
 - [OpenCV Computer Vision with Python](https://e.jd.com/30371482.html)
-    - 包含Kinect深度相机的教程
+    - 包含Kinect深度相机OpenNI的教程