from ctypes import * import numpy as np import os import cv2 os.system('go build -o pigo.so -buildmode=c-shared pigo.go') pigo = cdll.LoadLibrary('./pigo.so') MAX_NDETS = 2048 # define class GoPixelSlice to map to: # C type struct { void *data; GoInt len; GoInt cap; } class GoPixelSlice(Structure): _fields_ = [ ("pixels", POINTER(c_ubyte)), ("len", c_longlong), ("cap", c_longlong), ] # Obtain the camera pixels and transfer them to Go through Ctypes. def process_frame(pixs): dets = np.ones(3 * MAX_NDETS, dtype=np.float32) pixels = cast((c_ubyte * len(pixs))(*pixs), POINTER(c_ubyte)) # call FindFaces faces = GoPixelSlice(pixels, len(pixs), len(pixs)) pigo.FindFaces.argtypes = [GoPixelSlice] pigo.FindFaces.restype = c_void_p # Call the exported FindFaces function from Go. ndets = pigo.FindFaces(faces) data_pointer = cast(ndets, POINTER((c_longlong * 3) * MAX_NDETS)) buffarr = ((c_longlong * 3) * MAX_NDETS).from_address(addressof(data_pointer.contents)) res = np.ndarray(buffer=buffarr, dtype=c_longlong, shape=(3,3)) # The first value of the buffer aray represents the buffer length. dets_len = res[0][0] res = np.delete(res, 0, 0) # delete the first element from the array dets = np.reshape(res, (-1, 3))[0:dets_len] return dets # initialize the camera width, height = 640, 480 cap = cv2.VideoCapture(0) cap.set(cv2.CAP_PROP_FRAME_WIDTH, width) cap.set(cv2.CAP_PROP_FRAME_HEIGHT, height) while(True): ret, frame = cap.read() pixs = np.ascontiguousarray(frame[:, :, 1].reshape((frame.shape[0], frame.shape[1]))) pixs = pixs.flatten() # We need to make sure that we are transfering the whole frame size to Go, # otherwise we are getting an index out of range error. if len(pixs) == width*height: dets = process_frame(pixs) # pixs needs to be numpy.uint8 array if dets is not None: for det in dets: cv2.circle(frame, (int(det[1]), int(det[0])), int(det[2]/2.0), (0, 0, 255), 2) cv2.imshow('Face detection', frame) if cv2.waitKey(5) & 0xFF == ord('q'): break cap.release() cv2.destroyAllWindows()