Timeouts are now by seconds and added max_height

This commit is contained in:
boltgolt 2018-02-13 22:49:29 +01:00
parent 3910755c1a
commit d7f8510226
3 changed files with 26 additions and 6 deletions

View file

@ -61,6 +61,9 @@ timings.append(time.time())
video_capture = cv2.VideoCapture(int(config.get("video", "device_id")))
timings.append(time.time())
# Fetch the max frame height
max_height = int(config.get("video", "max_height"))
# Start the read loop
frames = 0
while True:
@ -70,6 +73,17 @@ while True:
# Don't remove ret, it doesn't work without it
ret, frame = video_capture.read()
height, width = frame.shape[:2]
if max_height < height:
scaling_factor = max_height / float(height)
frame = cv2.resize(frame, None, fx=scaling_factor, fy=scaling_factor, interpolation=cv2.INTER_AREA)
scale_height, scale_width = frame.shape[:2]
# Convert from BGR to RGB
frame = frame[:, :, ::-1]
# Get all faces from that frame as encodings
face_encodings = face_recognition.face_encodings(frame)
@ -89,8 +103,6 @@ while True:
# If set to true in the config, print debug text
if config.get("debug", "end_report") == "true":
print("DEBUG END REPORT\n")
def print_timing(label, offset):
"""Helper function to print a timing from the list"""
print(" " + label + ": " + str(round((timings[1 + offset] - timings[offset]) * 1000)) + "ms")
@ -101,6 +113,10 @@ while True:
print_timing("Opening the camera", 2)
print_timing("Searching for known face", 3)
print("\nResolution")
print(" Native: " + str(height) + "x" + str(width))
print(" Used: " + str(scale_height) + "x" + str(scale_width))
print("\nFrames searched: " + str(frames) + " (" + str(round(float(frames) / (timings[4] - timings[2]), 2)) + " fps)")
print("Certainty of winning frame: " + str(round(match * 10, 3)))
@ -113,7 +129,7 @@ while True:
stop(0)
# Stop if we've exceded the maximum retry count
if tries > int(config.get("video", "frame_count")):
if time.time() - timings[3] > int(config.get("video", "timout")):
stop(11)
tries += 1

View file

@ -11,13 +11,17 @@ suppress_unknown = false
# On a scale from 1 to 10, values above 5 are not recommended
certainty = 3.5
# The number of frames to capture and to process before timing out
frame_count = 30
# The number of seconds to search before timing out
timout = 4
# The /dev/videoX id to capture frames from
# Should be set automatically by the installer
device_id = 1
# Scale down the video feed to this maximum height
# Speeds up face recognition but can make it less precise
max_height = 320
[debug]
# Show a short but detailed diagnostic report in console
end_report = false

View file

@ -80,7 +80,7 @@ handleStatus(subprocess.call(["rm", "-rf", "/tmp/dlib_clone"]))
log("Installing face_recognition")
handleStatus(subprocess.call(["pip3", "install", "face_recognition"]))
handleStatus(subprocess.call(["pip3", "install", "face_recognition", "sty"]))
log("Cloning howdy")