Added darkness detection to face registration logic
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2097469742
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2 changed files with 37 additions and 10 deletions
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@ -135,12 +135,22 @@ time.sleep(2)
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# Will contain found face encodings
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enc = []
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# Count the amount or read frames
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# Count the number of read frames
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frames = 0
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# Count the number of illuminated read frames
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valid_frames = 0
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# Count the number of illuminated frames that
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# were rejected for being too dark
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dark_tries = 0
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# Track the running darkness total
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dark_running_total = 0
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face_locations = None
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dark_threshold = config.getfloat("video", "dark_threshold")
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# Loop through frames till we hit a timeout
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while frames < 60:
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frames += 1
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# Grab a single frame of video
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# Don't remove ret, it doesn't work without it
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ret, frame = video_capture.read()
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@ -151,12 +161,23 @@ while frames < 60:
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# All values combined for percentage calculation
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hist_total = np.sum(hist)
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# If the image is fully black or the frame exceeds threshold,
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# Calculate frame darkness
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darkness = (hist[0] / hist_total * 100)
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# If the image is fully black due to a bad camera read,
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# skip to the next frame
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if hist_total == 0 or (hist[0] / hist_total * 100 > dark_threshold):
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if (hist_total == 0) or (darkness == 100):
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continue
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frames += 1
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# Include this frame in calculating our average session brightness
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dark_running_total += darkness
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valid_frames += 1
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# If the image exceeds darkness threshold due to subject distance,
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# skip to the next frame
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if (darkness > dark_threshold):
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dark_tries += 1
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continue
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# Get all faces from that frame as encodings
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face_locations = face_detector(gsframe, 1)
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@ -167,12 +188,19 @@ while frames < 60:
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video_capture.release()
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# If more than 1 faces are detected we can't know wich one belongs to the user
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if len(face_locations) > 1:
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print("Multiple faces detected, aborting")
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# If we've found no faces, try to determine why
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if face_locations is None or not face_locations:
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if valid_frames == 0:
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print("Camera saw only black frames - is IR emitter working?")
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elif valid_frames == dark_tries:
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print("All frames were too dark, please check dark_threshold in config")
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print("Average darkness: " + str(dark_running_total / valid_frames) + ", Threshold: " + str(dark_threshold))
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else:
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print("No face detected, aborting")
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sys.exit(1)
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elif not face_locations:
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print("No face detected, aborting")
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# If more than 1 faces are detected we can't know wich one belongs to the user
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elif len(face_locations) > 1:
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print("Multiple faces detected, aborting")
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sys.exit(1)
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face_location = face_locations[0]
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@ -182,7 +182,6 @@ while True:
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# Stop if we've exceded the time limit
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if time.time() - timings["fr"] > timeout:
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average_darkness = dark_running_total / frames
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if (dark_tries == valid_frames ):
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print("All frames were too dark, please check dark_threshold in config")
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print("Average darkness: " + str(dark_running_total / valid_frames) + ", Threshold: " + str(dark_threshold))
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