def main():
with CameraStreamProcessor(
camera=CvVideoCamera(is_color=False),
pipeline=[
CvBlobDetector(
min_threshold=31.23,
max_threshold=207.05,
filter_by_color=True,
blob_color=255,
filter_by_area=True,
min_area=17.05,
max_area=135.46,
filter_by_circularity=True,
min_circularity=0.62,
filter_by_inertia=True,
min_inertia_ratio=0.27,
filter_by_convexity=True,
min_convexity=0.60,
),
# CvContourBlobDetector(),
NearestNeighbourTracker(threshold=20),
KeypointEncoder(),
],
view=KeypointView(color=(0, 255, 0)),
display=CvVideoDisplay(name='preview'),
writer=CvImageOutputFileSeq(),
) as p:
keypoints = p.process(num_frames=5, outfile="demo1.jpg")
# keypoints = p.process(num_frames=300)
print(f"keypoints.shape = {keypoints.shape}")
print(f"keypoints[0] = {keypoints[0]}")
with FileStreamProcessor(
reader=CvImageInputFileSeq(),
pipeline=[
CvBlobDetector(
min_threshold=31.23,
max_threshold=207.05,
filter_by_color=True,
blob_color=255,
filter_by_area=True,
min_area=17.05,
max_area=135.46,
filter_by_circularity=True,
min_circularity=0.62,
filter_by_inertia=True,
min_inertia_ratio=0.27,
filter_by_convexity=True,
min_convexity=0.60,
),
# CvContourBlobDetector(),
NearestNeighbourTracker(threshold=20),
KeypointEncoder(),
],
view=KeypointView(color=(0, 255, 0)),
display=CvVideoDisplay(name='preview'),
) as p:
keypoints = p.process(num_frames=5, infile="demo1.jpg")
print(f"keypoints.shape = {keypoints.shape}")
def main():
with AsyncProcessor(
CameraStreamProcessorMP(
camera=DShowVideoCamera(format=6, is_color=False),
pipeline=[
# CvBlobDetector(
# min_threshold=31.23,
# max_threshold=207.05,
# filter_by_color=True,
# blob_color=255,
# filter_by_area=True,
# min_area=17.05,
# max_area=135.46,
# filter_by_circularity=True,
# min_circularity=0.62,
# filter_by_inertia=True,
# min_inertia_ratio=0.27,
# filter_by_convexity=True,
# min_convexity=0.60,
# ),
CvContourBlobDetector(),
NearestNeighbourTracker(threshold=20),
KeypointEncoder(),
],
view=KeypointView(color=(0, 255, 0)),
display=CvVideoDisplay(name='preview'),
writer=CvVideoOutputFile(fps=120,
frame_size=(640, 480),
is_color=False),
qsize=2,
)) as p:
p.async_process(outfile='demo1.mp4')
print("Getting on with something else ...")
time.sleep(5)
p.async_cancel()
frames = p.async_result()
print("frames.shape = {}".format(frames.shape))
def main():
with CameraStreamProcessor(
camera=CvVideoCamera(is_color=False),
pipeline=[
CvBlobDetector(
min_threshold=31.23,
max_threshold=207.05,
filter_by_color=True,
blob_color=255,
filter_by_area=True,
min_area=17.05,
max_area=135.46,
filter_by_circularity=True,
min_circularity=0.62,
filter_by_inertia=True,
min_inertia_ratio=0.27,
filter_by_convexity=True,
min_convexity=0.60,
),
# CvContourBlobDetector(),
NearestNeighbourTracker(threshold=20),
KeypointEncoder(),
],
view=KeypointView(color=(0, 255, 0)),
display=CvVideoDisplay(name='preview'),
writer=CvVideoOutputFile(is_color=False),
) as p:
# capture sequence of keypoints - ensure sensor has sufficient time to return to
# its rest position before end of sequence
keypoints = p.process(num_frames=300, outfile="demo1.mp4")
# keypoints = p.process(num_frames=300)
print(f"keypoints.shape = {keypoints.shape}")
# check that final keypoint ordering is the same as initial ordering
init_keypoints, final_keypoints = keypoints[0], keypoints[-1]
dists = ssd.cdist(final_keypoints, init_keypoints, 'euclidean')
min_dist_idxs = np.argmin(dists, axis=1)
print("Test passed: {}".format(np.all(min_dist_idxs == range(len(min_dist_idxs)))))
def main():
with AsyncProcessor(CameraStreamProcessorMT(
camera=CvVideoCamera(is_color=False),
pipeline=[
CvBlobDetector(
min_threshold=31.23,
max_threshold=207.05,
filter_by_color=True,
blob_color=255,
filter_by_area=True,
min_area=17.05,
max_area=135.46,
filter_by_circularity=True,
min_circularity=0.62,
filter_by_inertia=True,
min_inertia_ratio=0.27,
filter_by_convexity=True,
min_convexity=0.60,
),
# CvContourBlobDetector(),
NearestNeighbourTracker(threshold=20),
KeypointEncoder(),
],
view=KeypointView(color=(0,255,0)),
display=CvVideoDisplay(name='preview'),
writer=CvVideoOutputFile(is_color=False),
)) as p:
p.async_process(outfile='demo1.mp4')
print("Getting on with something else ...")
time.sleep(5)
p.async_cancel()
frames = p.async_result()
print("frames.shape = {}".format(frames.shape))
with AsyncProcessor(FileStreamProcessorMT(
reader=CvVideoInputFile(is_color=False),
pipeline=[
CvBlobDetector(
min_threshold=31.23,
max_threshold=207.05,
filter_by_color=True,
blob_color=255,
filter_by_area=True,
min_area=17.05,
max_area=135.46,
filter_by_circularity=True,
min_circularity=0.62,
filter_by_inertia=True,
min_inertia_ratio=0.27,
filter_by_convexity=True,
min_convexity=0.60,
),
# CvContourBlobDetector(),
NearestNeighbourTracker(threshold=20),
KeypointEncoder(),
],
view=KeypointView(color=(0, 255, 0)),
display=CvVideoDisplay(name='replay'),
)) as p:
p.async_process(num_frames=100, infile="demo1.mp4")
print("Getting on with something else ...")
time.sleep(5)
# p.async_cancel()
keypoints = p.async_result()
print(f"keypoints.shape = {keypoints.shape}")