def write_video(write_path,
vidreader,
smoothMasks,
window_centers,
window_sizes,
num_blocks,
num_prev_frames,
rsz_shape=[80, 60]):
create_folder_structure_if_not_exists(write_path)
shape = [vidreader.width, vidreader.height]
vidwriter = VideoWriter(write_path, vidreader.width, vidreader.height)
vidwriter.build()
vidreader.__reset__()
skip_frames = num_prev_frames + num_blocks / 2
vidreader.skip_frames(skip_frames)
frame_idx = 0
numFrames = len(smoothMasks)
while (frame_idx < numFrames):
frame = vidreader.read_next()
if frame is None:
break
frame = draw_rect(frame, window_centers[frame_idx], window_sizes,
shape)
name = "test_results/tracking/track{0}.png".format(frame_idx)
cv2.imwrite(name, frame)
vidwriter.write(np.uint8(frame))
frame_idx += 1
vidwriter.close()
def tracker(inPath,outPath="test_results/tracker.avi"):
#initialization for default value
hog = cv2.HOGDescriptor()
hog.setSVMDetector( cv2.HOGDescriptor_getDefaultPeopleDetector())
vidreader = VideoReader(inPath)
vidwriter = VideoWriter(outPath,vidreader.width,vidreader.height)
vidwriter.build();
frame_idx =0; N = vidreader.frames;
while vidreader.num_remaining_frames() > 0:
frame_idx += 1;
cur_frame = vidreader.read_next();
print 'Perform human tracking.... {0}%\r'.format((frame_idx*100/N)),
if cur_frame is None:
break;
gray_cur_frame = cv2.cvtColor(cur_frame, cv2.COLOR_BGR2GRAY)
found, w = hog.detectMultiScale(gray_cur_frame, winStride=(8,8), padding=(32,32), scale=1.05)
found_filtered = []
#discarding the bounding box on within other
for ri, r in enumerate(found):
for qi, q in enumerate(found):
if ri != qi and inside(r, q):
break
else:
found_filtered.append(r)
draw_detections(cur_frame, found_filtered, 1)
vidwriter.write(cur_frame);
vidreader.close();
vidwriter.close()
cv2.destroyAllWindows()
print "Implemented Human Tracking............. [Done]"
def write_video(vidreader, out_path, num_prev_frames, num_blocks, smoothMasks,
vaMasks):
create_folder_structure_if_not_exists(out_path)
start = time.time()
vidwriter = VideoWriter(out_path, vidreader.width * 2, vidreader.height)
vidwriter.build()
vidreader.__reset__()
N = vidreader.frames
vidreader.skip_frames(num_prev_frames + num_blocks / 2)
frame_idx = 0
numFrames = len(smoothMasks)
while (frame_idx < numFrames):
print 'Writing video ... {0}%\r'.format((frame_idx * 100 / N)),
frame = vidreader.read_next()
zero_frame = np.zeros(frame.shape, dtype=np.uint8)
zero_frame[:, :, 2] = vaMasks[frame_idx] * 255
out_frame1 = cv2.addWeighted(frame, 0.6, zero_frame, 0.4, 0)
out_frame2 = frame * smoothMasks[frame_idx][:, :, None]
name = "test_results/smoothening/{0}_smooth.png".format(
frame_idx + num_prev_frames + num_blocks / 2)
cv2.imwrite(name, out_frame2)
vidwriter.write(np.uint8(np.hstack((out_frame1, out_frame2))))
frame_idx += 1
vidwriter.close()
time_taken = time.time() - start
print "Writing video .... [DONE] in ", time_taken, " seconds"
def createVideo(datapath,group,outfileName,shape,duration=120,framerate=20,vidLen=32):
vidOutFileName = outfileName + 'test.avi'
labelOutFileName = outfileName + 'test.txt'
values = [];
create_folder_structure_if_not_exists(vidOutFileName);
with open(datapath+os.sep+group+".txt",'r') as fp:
for line in fp:
values.extend([line.split()]);
numClass = len(values);
numExamples = (duration*framerate)/(vidLen);
randomNumbers = np.random.random_integers(0,numClass-1,numExamples);
fileWriter = open(labelOutFileName,'w');
vidWriter = VideoWriter(vidOutFileName,shape[0],shape[1]);
vidWriter.build();
for idx,random_idx in enumerate(randomNumbers):
print 'Creating UCF 50 video ... {0}%\r'.format((idx*100/numExamples)),
classDetails = values[random_idx];
classPath = datapath + os.sep + classDetails[0] + os.sep
classExamples = [os.path.join(classPath, _file) for _file in os.listdir(classPath)
if os.path.isfile(os.path.join(classPath, _file))];
chosenExample = classExamples[np.random.randint(len(classExamples))];
#print chosenExample
vidreader = VideoReader(chosenExample,None);
num_frames = vidreader.frames;
cnt,frames = vidreader.read(np.random.randint(num_frames-vidLen),vidLen);
fileWriter.writelines("%d\n" % int(item) for item in [classDetails[2]]*cnt)
for frame in frames:
vidWriter.write(frame);
vidWriter.close();
fileWriter.close();
def write_video(write_path,vidreader,smoothMasks,window_centers,window_sizes,num_blocks,
num_prev_frames,rsz_shape=[80,60]):
create_folder_structure_if_not_exists(write_path);
shape = [vidreader.width, vidreader.height];
vidwriter = VideoWriter(write_path,vidreader.width,vidreader.height);
vidwriter.build(); vidreader.__reset__();
skip_frames = num_prev_frames + num_blocks/2; vidreader.skip_frames(skip_frames);
frame_idx = 0; numFrames= len(smoothMasks);
while(frame_idx < numFrames):
frame = vidreader.read_next();
if frame is None:
break;
frame = draw_rect(frame,window_centers[frame_idx],window_sizes,shape);
name = "test_results/tracking/track{0}.png".format(frame_idx);
cv2.imwrite(name,frame);
vidwriter.write(np.uint8(frame))
frame_idx += 1;
vidwriter.close();
def createVideo(datapath,
group,
outfileName,
shape,
duration=120,
framerate=20,
vidLen=32):
vidOutFileName = outfileName + 'test.avi'
labelOutFileName = outfileName + 'test.txt'
values = []
create_folder_structure_if_not_exists(vidOutFileName)
with open(datapath + os.sep + group + ".txt", 'r') as fp:
for line in fp:
values.extend([line.split()])
numClass = len(values)
numExamples = (duration * framerate) / (vidLen)
randomNumbers = np.random.random_integers(0, numClass - 1, numExamples)
fileWriter = open(labelOutFileName, 'w')
vidWriter = VideoWriter(vidOutFileName, shape[0], shape[1])
vidWriter.build()
for idx, random_idx in enumerate(randomNumbers):
print 'Creating UCF 50 video ... {0}%\r'.format(
(idx * 100 / numExamples)),
classDetails = values[random_idx]
classPath = datapath + os.sep + classDetails[0] + os.sep
classExamples = [
os.path.join(classPath, _file) for _file in os.listdir(classPath)
if os.path.isfile(os.path.join(classPath, _file))
]
chosenExample = classExamples[np.random.randint(len(classExamples))]
#print chosenExample
vidreader = VideoReader(chosenExample, None)
num_frames = vidreader.frames
cnt, frames = vidreader.read(np.random.randint(num_frames - vidLen),
vidLen)
fileWriter.writelines("%d\n" % int(item)
for item in [classDetails[2]] * cnt)
for frame in frames:
vidWriter.write(frame)
vidWriter.close()
fileWriter.close()
def write_video(vidreader,out_path,num_prev_frames,num_blocks,smoothMasks,vaMasks):
create_folder_structure_if_not_exists(out_path);
start = time.time();
vidwriter = VideoWriter(out_path,vidreader.width*2,vidreader.height)
vidwriter.build(); vidreader.__reset__(); N = vidreader.frames;
vidreader.skip_frames(num_prev_frames + num_blocks/2); frame_idx = 0
numFrames= len(smoothMasks);
while(frame_idx < numFrames):
print 'Writing video ... {0}%\r'.format((frame_idx*100/N)),
frame = vidreader.read_next();
zero_frame = np.zeros(frame.shape,dtype=np.uint8);
zero_frame[:,:,2] = vaMasks[frame_idx]*255
out_frame1 = cv2.addWeighted(frame,0.6,zero_frame,0.4,0);
out_frame2 = frame * smoothMasks[frame_idx][:,:,None]
name = "test_results/smoothening/{0}_smooth.png".format(frame_idx+num_prev_frames + num_blocks/2);
cv2.imwrite(name,out_frame2)
vidwriter.write(np.uint8(np.hstack((out_frame1,out_frame2))))
frame_idx += 1;
vidwriter.close();
time_taken = time.time()-start;
print "Writing video .... [DONE] in ",time_taken," seconds"
