def get_file_descs(fn):
#print 'computing descriptors for %s' % fn
f = path.join('descs', path.basename(fn) + '.npy')
if path.exists(f):
descs = np.load(f)
else:
frames = util.vidread(fn)
pts = video.get_interest_points(frames)
descs = video.compute_descriptors(frames, pts)
np.save(f, descs)
return descs
pts = pts[:, inds]
descs = []
for x, y, t in zip(*pts):
sub_flo = flo[x - nx : x + nx + 1, y - ny : y + ny + 1, t - nt : t + nt + 1]
xhist, _ = np.histogram(sub_flo[..., 0], bins=bins)
yhist, _ = np.histogram(sub_flo[..., 1], bins=bins)
xhist = xhist.astype(np.float64) / xhist.sum()
yhist = xhist.astype(np.float64) / yhist.sum()
descs.append(np.hstack([xhist, yhist]))
return np.vstack(descs)
## Given an input video, overlay the Harris points and output to a
## file.
if __name__ == "__main__":
frames = util.vidread(sys.argv[1])
pts = get_interest_points(frames)
for x, y, t in zip(*pts):
frames[
max(0, x - 3) : min(frames.shape[0], x + 4),
max(0, y - 3) : min(frames.shape[1], y + 4),
max(0, t - 1) : min(frames.shape[2], t + 2),
] = 255
util.vidwrite(frames, sys.argv[2])