def main():
width = 320
height = 240
# Structued Light instance list
slins_list = [
sl.Binary(),
sl.Gray(),
sl.XOR(),
sl.Ramp(),
sl.PhaseShifting(),
sl.Stripe()
]
# Structure Light name list
slname_list = ["binary", "gray", "xor", "ramp", "phaseshifting", "stripe"]
for slins, slname in zip(slins_list, slname_list):
imlist = slins.generate((width, height))
# Make directory if it doesn't exist
dirname = slname + "{0}x{1}".format(width, height)
if os.path.isdir(dirname) == False:
os.makedirs(dirname)
# Export images
zero_pad = len(str(len(imlist)))
for i, img in enumerate(imlist):
filename = slname + str(i + 1).zfill(zero_pad) + ".png"
cv2.imwrite(dirname + "/" + filename, img)
def main():
width = 320
height = 240
gray = sl.Gray()
# x-coord
imlist_pattern_x = gray.generate((width, height))
img_index_x = gray.decode(imlist_pattern_x, thresh=127)
# y-coord
imlist_pattern_y = sl.transpose(gray.generate((height, width)))
img_index_y = gray.decode(imlist_pattern_y, thresh=127)
# Export correspondence table
# x-coord only
corr_table = sl.getCorrespondenceTable(img_index_x)
np.savetxt("correspondence_x.csv", corr_table, delimiter=",")
print("[cam_x cam_y prj_x]")
print(corr_table)
# both xy-coord
corr_table = sl.getCorrespondenceTable(img_index_x, img_index_y)
np.savetxt("correspondence_xy.csv", corr_table, delimiter=",")
print("[cam_x cam_y prj_x prj_y]")
print(corr_table)
def main():
width = 640
height = 480
cap = cv2.VideoCapture(1) # External web camera
gray = sl.Gray()
# Generate and Decode x-coord
# Generate
imlist_posi_pat = gray.generate((width, height))
imlist_nega_pat = sl.invert(imlist_posi_pat)
# Capture
imlist_posi_cap = [imshowAndCapture(cap, img) for img in imlist_posi_pat]
imlist_nega_cap = [imshowAndCapture(cap, img) for img in imlist_nega_pat]
# Decode
img_index = gray.decode(imlist_posi_cap, imlist_nega_cap)
# Visualize decode result
img_correspondence = np.clip(img_index / width * 255.0, 0,
255).astype(np.uint8)
cv2.imshow("corresponnence map", img_correspondence)
cv2.waitKey(0)
cv2.imwrite("correspondence.png", img_correspondence)
cv2.destroyAllWindows()
cap.release()
def main():
width = 320
height = 240
gray = sl.Gray()
# x-coord
imlist_pattern_x = gray.generate((width, height))
img_index_x = gray.decode(imlist_pattern_x, thresh=127)
# y-coord
imlist_pattern_y = sl.transpose(gray.generate((height, width)))
img_index_y = gray.decode(imlist_pattern_y, thresh=127)
# Export correspondence table
# x-coord only
campoints, prjpoints = sl.getCorrespondencePoints(img_index_x)
print("x-coord only")
print("campoints: ", campoints.shape)
print(campoints)
print("prjpoints: ", prjpoints.shape)
print(prjpoints)
# both xy-coord
campoints, prjpoints = sl.getCorrespondencePoints(img_index_x, img_index_y)
print("xy-coord only")
print("campoints: ", campoints.shape)
print(campoints)
print("prjpoints: ", prjpoints.shape)
print(prjpoints)
def main():
width = 640
height = 480
cap = cv2.VideoCapture(1) # External web camera
gray = sl.Gray()
# Generate and Decode x-coord
# Generate
imlist_posi_x_pat = gray.generate((width, height))
imlist_nega_x_pat = sl.invert(imlist_posi_x_pat)
# Capture
imlist_posi_x_cap = [
imshowAndCapture(cap, img) for img in imlist_posi_x_pat
]
imlist_nega_x_cap = [
imshowAndCapture(cap, img) for img in imlist_nega_x_pat
]
# Decode
img_index_x = gray.decode(imlist_posi_x_cap, imlist_nega_x_cap)
# Generate and Decode y-coord
# Generate
imlist = gray.generate((height, width))
imlist_posi_y_pat = sl.transpose(imlist)
imlist_nega_y_pat = sl.invert(imlist_posi_y_pat)
# Capture
imlist_posi_y_cap = [
imshowAndCapture(cap, img) for img in imlist_posi_y_pat
]
imlist_nega_y_cap = [
imshowAndCapture(cap, img) for img in imlist_nega_y_pat
]
# Decode
img_index_y = gray.decode(imlist_posi_y_cap, imlist_nega_y_cap)
# Write correspondence table
corr_table = sl.getCorrespondenceTable(img_index_x, img_index_y)
np.savetxt("correspondence.csv", corr_table, delimiter=",")
# Visualize decode result
img_correspondence = cv2.merge([
0.0 * np.zeros_like(img_index_x), img_index_x / width,
img_index_y / height
])
img_correspondence = np.clip(img_correspondence * 255.0, 0,
255).astype(np.uint8)
cv2.imshow("x:Green, y:Red", img_correspondence)
cv2.waitKey(0)
cv2.imwrite("correspondence.png", img_correspondence)
cv2.destroyAllWindows()
cap.release()
def main():
width = 640
height = 480
gray = sl.Gray()
imlist_pattern = gray.generate((width, height))
print("1. Simple thresholding")
img_index = gray.decode(imlist_pattern, thresh=127)
print("2. Per-pixel thresholding")
img_white = np.full((height, width), 255, dtype=np.uint8)
img_black = np.full((height, width), 0, dtype=np.uint8)
img_thresh = 0.5 * img_white + 0.5 * img_black
img_index = gray.decode(imlist_pattern, thresh=img_thresh)
print("3. Posi-Nega comparing")
imlist_posi = imlist_pattern
imlist_nega = sl.invert(imlist_posi)
img_index = gray.decode(imlist_posi, imlist_nega)