def exportMxsObjInformation(scene, pzFile):
info, ok = scene.getSceneInfo()
# root element
root = Element("scene")
root.attrib["path"] = scene.getMxsPath()
root.attrib["nObjects"] = repr(info.nObjects)
root.attrib["nMeshs"] = repr(info.nMeshes)
root.attrib["nTriangles"] = repr(info.nTriangles)
objElemList = []
objNameList = []
# iterate all objects
it = CmaxwellObjectIterator()
curObj = it.first(scene)
while not curObj.isNull():
objName, ok = curObj.getName()
parent, ok = curObj.getParent()
objNameList.append(objName)
parentElem = root
if not parent.isNull():
parentName, ok = parent.getName()
parentIdx = objNameList.index(parentName)
parentElem = objElemList[parentIdx]
objElem = SubElement(parentElem, "object", name=repr(objName))
buildObjectElement(objElem, curObj)
objElemList.append(objElem)
curObj = it.next()
# write the document to a file
# ElementTree(root).write(pzFile)
Utils.saveXML(root, pzFile)
print "finish export mxs information"
def testcamera_nir():
camera_rgb = cv2.VideoCapture(0)
camera_ir = cv2.VideoCapture(1)
frameCount = 0
prevSaveDetectedFaceFrameCount = 0 #上一次保存检测到人脸是第几帧
while True:
start = time.time()
frameCount += 1
grab_rgb, frame_rgb = camera_rgb.read() # 第一个返回值grab代表是否读取到图片
grab_ir, frame_ir = camera_ir.read()
image_rgb = np.array(frame_rgb)
boxes_c_rgb, landmarks_rgb = mtcnn_detector.detect(image_rgb)
end = time.time()
seconds = end - start
fps = int(1 / seconds)
if 0 == boxes_c_rgb.size:
cv2.putText(frame_rgb, 'FPS:' + str(fps), (25, 25),
cv2.FONT_HERSHEY_SIMPLEX, 1, (0, 0, 255), 1)
cv2.imshow("detection result rgb", frame_rgb)
cv2.imshow("detection result ir", frame_ir)
cv2.waitKey(1)
continue
total_boxes_rgb = []
for i in range(boxes_c_rgb.shape[0]):
bbox = boxes_c_rgb[i, :4]
score = boxes_c_rgb[i, 4]
corpbbox = [int(bbox[0]), int(bbox[1]), int(bbox[2]), int(bbox[3])]
total_boxes_rgb.append(corpbbox)
if (frameCount - prevSaveDetectedFaceFrameCount) >= int(
fps * 2): # 每2秒保存一帧
rgb_img_filename = os.path.join(images_rgbs_orgs_save_path,
'rgb_org_%04d.png' % frameCount)
ir_img_filename = os.path.join(images_nirs_orgs_save_path,
'nir_org_%04d.png' % frameCount)
cv2.imwrite(rgb_img_filename, frame_rgb)
cv2.imwrite(ir_img_filename, frame_ir)
draw_rgb = frame_rgb.copy()
draw_ir = frame_ir.copy()
rgb_img_anns_filename = os.path.join(
images_rgbs_anns_save_path, 'rgb_org_%04d.xml' % frameCount)
ir_img_anns_filename = os.path.join(
images_nirs_anns_save_path, 'nir_org_%04d.xml' % frameCount)
# print('rgb_img_anns_filename===', rgb_img_anns_filename)
utils.saveXML(rgb_img_anns_filename, total_boxes_rgb, 0,
frame_rgb.shape[1], frame_rgb.shape[0])
utils.saveXML(ir_img_anns_filename, total_boxes_rgb, 0,
frame_ir.shape[1], frame_ir.shape[0], True)
for b in total_boxes_rgb:
p1 = (int(b[0]), int(b[1]))
p2 = (int(b[2]), int(b[3]))
cv2.rectangle(draw_rgb, p1, p2, (0, 255, 0))
# p1_ir = (int(b[0])+20, int(b[1])-10)
# p2_ir = (int(b[2])+20, int(b[3])-10)
p1_ir = p1
p2_ir = p2
cv2.rectangle(draw_ir, p1_ir, p2_ir, (0, 255, 0))
rgb_img_rect_filename = os.path.join(
images_rgbs_rects_save_path, 'rgb_rect_%04d.png' % frameCount)
ir_img_rect_filename = os.path.join(
images_nirs_rects_save_path, 'nir_rect_%04d.png' % frameCount)
cv2.imwrite(rgb_img_rect_filename, draw_rgb)
cv2.imwrite(ir_img_rect_filename, draw_ir)
prevSaveDetectedFaceFrameCount = frameCount
cv2.putText(draw_rgb, 'FPS:' + str(fps), (25, 25),
cv2.FONT_HERSHEY_SIMPLEX, 1, (0, 0, 255), 1)
cv2.imshow("detection result rgb", draw_rgb)
cv2.imshow("detection result ir", draw_ir)
key = cv2.waitKey(1)
if 'q' == chr(key & 255) or 'Q' == chr(key
& 255) or 27 == key: # 27:Esc
break
# 释放VideoCapture对象
camera_rgb.release()
camera_ir.release()
cv2.destroyAllWindows()
def exportMxCamerasInfo2XML(pzScene, pzXML):
scene = readMXS(pzScene)
cameras = getCamerasInfo(scene)
root = buildCameraElement(cameras)
return Utils.saveXML(root, pzXML)
def testcamera_nir(detector):
camera_rgb = cv2.VideoCapture(0)
camera_ir = cv2.VideoCapture(1)
frameCount = 0
prevSaveDetectedFaceFrameCount = 0 #上一次保存检测到人脸是第几帧
while True:
start = time.time()
frameCount += 1
grab_rgb, frame_rgb = camera_rgb.read() # 第一个返回值grab代表是否读取到图片
grab_ir, frame_ir = camera_ir.read()
detect_results_rgb = detector.detect_face(frame_rgb)
end = time.time()
seconds = end - start
fps = 1 / seconds
if detect_results_rgb is None:
cv2.putText(frame_rgb,'FPS:'+str(fps),(25,25),cv2.FONT_HERSHEY_SIMPLEX,4,(0,0,255),1)
cv2.imshow("detection result rgb", frame_rgb)
cv2.imshow("detection result ir", frame_ir)
cv2.waitKey(1)
continue
if (frameCount - prevSaveDetectedFaceFrameCount) >= int(fps * 2): # 每2秒保存一帧
rgb_img_filename = os.path.join(images_rgbs_orgs_save_path, 'rgb_org_%04d.png' % frameCount)
ir_img_filename = os.path.join(images_nirs_orgs_save_path, 'nir_org_%04d.png' % frameCount)
cv2.imwrite(rgb_img_filename, frame_rgb)
cv2.imwrite(ir_img_filename, frame_ir)
total_boxes_rgb = detect_results_rgb[0]
points_rgb = detect_results_rgb[1]
draw_rgb = frame_rgb.copy()
draw_ir = frame_ir.copy()
rgb_img_anns_filename = os.path.join(images_rgbs_anns_save_path, 'rgb_org_%04d.xml' % frameCount)
ir_img_anns_filename = os.path.join(images_nirs_anns_save_path, 'nir_org_%04d.xml' % frameCount)
# print('rgb_img_anns_filename===', rgb_img_anns_filename)
utils.saveXML(rgb_img_anns_filename, total_boxes_rgb, 0, frame_rgb.shape[1], frame_rgb.shape[0])
utils.saveXML(ir_img_anns_filename, total_boxes_rgb, 0, frame_ir.shape[1], frame_ir.shape[0], True)
for b in total_boxes_rgb:
p1 = (int(b[0]), int(b[1]))
p2 = (int(b[2]), int(b[3]))
cv2.rectangle(draw_rgb, p1, p2, (0, 255, 0))
p1_ir = (int(b[0])+20, int(b[1])-10)
p2_ir = (int(b[2])+20, int(b[3])-10)
cv2.rectangle(draw_ir, p1_ir, p2_ir, (0, 255, 0))
rgb_img_rect_filename = os.path.join(images_rgbs_rects_save_path, 'rgb_rect_%04d.png' % frameCount)
ir_img_rect_filename = os.path.join(images_nirs_rects_save_path, 'nir_rect_%04d.png' % frameCount)
cv2.imwrite(rgb_img_rect_filename, draw_rgb)
cv2.imwrite(ir_img_rect_filename, draw_ir)
prevSaveDetectedFaceFrameCount = frameCount
cv2.putText(draw_rgb,'FPS:'+str(fps),(25,25),cv2.FONT_HERSHEY_SIMPLEX,1,(0,0,255),1)
cv2.imshow("detection result rgb", draw_rgb)
cv2.imshow("detection result ir", draw_ir)
key=cv2.waitKey(1)
if 'q'==chr(key & 255) or 'Q'==chr(key & 255) or 27 == key:
break