formatting cleanup

This commit is contained in:
Blake Blackshear
2021-02-17 07:23:32 -06:00
parent b8f72a5bcb
commit 39ff49e054
23 changed files with 2621 additions and 1736 deletions

View File

@@ -19,9 +19,20 @@ import numpy as np
logger = logging.getLogger(__name__)
def draw_box_with_label(frame, x_min, y_min, x_max, y_max, label, info, thickness=2, color=None, position='ul'):
def draw_box_with_label(
frame,
x_min,
y_min,
x_max,
y_max,
label,
info,
thickness=2,
color=None,
position="ul",
):
if color is None:
color = (0,0,255)
color = (0, 0, 255)
display_text = "{}: {}".format(label, info)
cv2.rectangle(frame, (x_min, y_min), (x_max, y_max), color, thickness)
font_scale = 0.5
@@ -32,113 +43,122 @@ def draw_box_with_label(frame, x_min, y_min, x_max, y_max, label, info, thicknes
text_height = size[0][1]
line_height = text_height + size[1]
# set the text start position
if position == 'ul':
if position == "ul":
text_offset_x = x_min
text_offset_y = 0 if y_min < line_height else y_min - (line_height+8)
elif position == 'ur':
text_offset_x = x_max - (text_width+8)
text_offset_y = 0 if y_min < line_height else y_min - (line_height+8)
elif position == 'bl':
text_offset_y = 0 if y_min < line_height else y_min - (line_height + 8)
elif position == "ur":
text_offset_x = x_max - (text_width + 8)
text_offset_y = 0 if y_min < line_height else y_min - (line_height + 8)
elif position == "bl":
text_offset_x = x_min
text_offset_y = y_max
elif position == 'br':
text_offset_x = x_max - (text_width+8)
elif position == "br":
text_offset_x = x_max - (text_width + 8)
text_offset_y = y_max
# make the coords of the box with a small padding of two pixels
textbox_coords = ((text_offset_x, text_offset_y), (text_offset_x + text_width + 2, text_offset_y + line_height))
textbox_coords = (
(text_offset_x, text_offset_y),
(text_offset_x + text_width + 2, text_offset_y + line_height),
)
cv2.rectangle(frame, textbox_coords[0], textbox_coords[1], color, cv2.FILLED)
cv2.putText(frame, display_text, (text_offset_x, text_offset_y + line_height - 3), font, fontScale=font_scale, color=(0, 0, 0), thickness=2)
cv2.putText(
frame,
display_text,
(text_offset_x, text_offset_y + line_height - 3),
font,
fontScale=font_scale,
color=(0, 0, 0),
thickness=2,
)
def calculate_region(frame_shape, xmin, ymin, xmax, ymax, multiplier=2):
def calculate_region(frame_shape, xmin, ymin, xmax, ymax, multiplier=2):
# size is the longest edge and divisible by 4
size = int(max(xmax-xmin, ymax-ymin)//4*4*multiplier)
size = int(max(xmax - xmin, ymax - ymin) // 4 * 4 * multiplier)
# dont go any smaller than 300
if size < 300:
size = 300
# x_offset is midpoint of bounding box minus half the size
x_offset = int((xmax-xmin)/2.0+xmin-size/2.0)
x_offset = int((xmax - xmin) / 2.0 + xmin - size / 2.0)
# if outside the image
if x_offset < 0:
x_offset = 0
elif x_offset > (frame_shape[1]-size):
x_offset = max(0, (frame_shape[1]-size))
elif x_offset > (frame_shape[1] - size):
x_offset = max(0, (frame_shape[1] - size))
# y_offset is midpoint of bounding box minus half the size
y_offset = int((ymax-ymin)/2.0+ymin-size/2.0)
y_offset = int((ymax - ymin) / 2.0 + ymin - size / 2.0)
# # if outside the image
if y_offset < 0:
y_offset = 0
elif y_offset > (frame_shape[0]-size):
y_offset = max(0, (frame_shape[0]-size))
elif y_offset > (frame_shape[0] - size):
y_offset = max(0, (frame_shape[0] - size))
return (x_offset, y_offset, x_offset + size, y_offset + size)
return (x_offset, y_offset, x_offset+size, y_offset+size)
def get_yuv_crop(frame_shape, crop):
# crop should be (x1,y1,x2,y2)
frame_height = frame_shape[0]//3*2
frame_height = frame_shape[0] // 3 * 2
frame_width = frame_shape[1]
# compute the width/height of the uv channels
uv_width = frame_width//2 # width of the uv channels
uv_height = frame_height//4 # height of the uv channels
uv_width = frame_width // 2 # width of the uv channels
uv_height = frame_height // 4 # height of the uv channels
# compute the offset for upper left corner of the uv channels
uv_x_offset = crop[0]//2 # x offset of the uv channels
uv_y_offset = crop[1]//4 # y offset of the uv channels
uv_x_offset = crop[0] // 2 # x offset of the uv channels
uv_y_offset = crop[1] // 4 # y offset of the uv channels
# compute the width/height of the uv crops
uv_crop_width = (crop[2] - crop[0])//2 # width of the cropped uv channels
uv_crop_height = (crop[3] - crop[1])//4 # height of the cropped uv channels
uv_crop_width = (crop[2] - crop[0]) // 2 # width of the cropped uv channels
uv_crop_height = (crop[3] - crop[1]) // 4 # height of the cropped uv channels
# ensure crop dimensions are multiples of 2 and 4
y = (
crop[0],
crop[1],
crop[0] + uv_crop_width*2,
crop[1] + uv_crop_height*4
)
y = (crop[0], crop[1], crop[0] + uv_crop_width * 2, crop[1] + uv_crop_height * 4)
u1 = (
0 + uv_x_offset,
0 + uv_x_offset,
frame_height + uv_y_offset,
0 + uv_x_offset + uv_crop_width,
frame_height + uv_y_offset + uv_crop_height
0 + uv_x_offset + uv_crop_width,
frame_height + uv_y_offset + uv_crop_height,
)
u2 = (
uv_width + uv_x_offset,
uv_width + uv_x_offset,
frame_height + uv_y_offset,
uv_width + uv_x_offset + uv_crop_width,
frame_height + uv_y_offset + uv_crop_height
uv_width + uv_x_offset + uv_crop_width,
frame_height + uv_y_offset + uv_crop_height,
)
v1 = (
0 + uv_x_offset,
frame_height + uv_height + uv_y_offset,
0 + uv_x_offset + uv_crop_width,
frame_height + uv_height + uv_y_offset + uv_crop_height
0 + uv_x_offset,
frame_height + uv_height + uv_y_offset,
0 + uv_x_offset + uv_crop_width,
frame_height + uv_height + uv_y_offset + uv_crop_height,
)
v2 = (
uv_width + uv_x_offset,
frame_height + uv_height + uv_y_offset,
uv_width + uv_x_offset + uv_crop_width,
frame_height + uv_height + uv_y_offset + uv_crop_height
uv_width + uv_x_offset,
frame_height + uv_height + uv_y_offset,
uv_width + uv_x_offset + uv_crop_width,
frame_height + uv_height + uv_y_offset + uv_crop_height,
)
return y, u1, u2, v1, v2
def yuv_region_2_rgb(frame, region):
try:
height = frame.shape[0]//3*2
height = frame.shape[0] // 3 * 2
width = frame.shape[1]
# get the crop box if the region extends beyond the frame
crop_x1 = max(0, region[0])
crop_y1 = max(0, region[1])
# ensure these are a multiple of 4
crop_x2 = min(width, region[2])
crop_x2 = min(width, region[2])
crop_y2 = min(height, region[3])
crop_box = (crop_x1, crop_y1, crop_x2, crop_y2)
@@ -148,64 +168,65 @@ def yuv_region_2_rgb(frame, region):
y_channel_x_offset = abs(min(0, region[0]))
y_channel_y_offset = abs(min(0, region[1]))
uv_channel_x_offset = y_channel_x_offset//2
uv_channel_y_offset = y_channel_y_offset//4
uv_channel_x_offset = y_channel_x_offset // 2
uv_channel_y_offset = y_channel_y_offset // 4
# create the yuv region frame
# make sure the size is a multiple of 4
size = (region[3] - region[1])//4*4
yuv_cropped_frame = np.zeros((size+size//2, size), np.uint8)
size = (region[3] - region[1]) // 4 * 4
yuv_cropped_frame = np.zeros((size + size // 2, size), np.uint8)
# fill in black
yuv_cropped_frame[:] = 128
yuv_cropped_frame[0:size,0:size] = 16
yuv_cropped_frame[0:size, 0:size] = 16
# copy the y channel
yuv_cropped_frame[
y_channel_y_offset:y_channel_y_offset + y[3] - y[1],
y_channel_x_offset:y_channel_x_offset + y[2] - y[0]
] = frame[
y[1]:y[3],
y[0]:y[2]
]
y_channel_y_offset : y_channel_y_offset + y[3] - y[1],
y_channel_x_offset : y_channel_x_offset + y[2] - y[0],
] = frame[y[1] : y[3], y[0] : y[2]]
uv_crop_width = u1[2] - u1[0]
uv_crop_height = u1[3] - u1[1]
# copy u1
yuv_cropped_frame[
size + uv_channel_y_offset:size + uv_channel_y_offset + uv_crop_height,
0 + uv_channel_x_offset:0 + uv_channel_x_offset + uv_crop_width
] = frame[
u1[1]:u1[3],
u1[0]:u1[2]
]
size + uv_channel_y_offset : size + uv_channel_y_offset + uv_crop_height,
0 + uv_channel_x_offset : 0 + uv_channel_x_offset + uv_crop_width,
] = frame[u1[1] : u1[3], u1[0] : u1[2]]
# copy u2
yuv_cropped_frame[
size + uv_channel_y_offset:size + uv_channel_y_offset + uv_crop_height,
size//2 + uv_channel_x_offset:size//2 + uv_channel_x_offset + uv_crop_width
] = frame[
u2[1]:u2[3],
u2[0]:u2[2]
]
size + uv_channel_y_offset : size + uv_channel_y_offset + uv_crop_height,
size // 2
+ uv_channel_x_offset : size // 2
+ uv_channel_x_offset
+ uv_crop_width,
] = frame[u2[1] : u2[3], u2[0] : u2[2]]
# copy v1
yuv_cropped_frame[
size+size//4 + uv_channel_y_offset:size+size//4 + uv_channel_y_offset + uv_crop_height,
0 + uv_channel_x_offset:0 + uv_channel_x_offset + uv_crop_width
] = frame[
v1[1]:v1[3],
v1[0]:v1[2]
]
size
+ size // 4
+ uv_channel_y_offset : size
+ size // 4
+ uv_channel_y_offset
+ uv_crop_height,
0 + uv_channel_x_offset : 0 + uv_channel_x_offset + uv_crop_width,
] = frame[v1[1] : v1[3], v1[0] : v1[2]]
# copy v2
yuv_cropped_frame[
size+size//4 + uv_channel_y_offset:size+size//4 + uv_channel_y_offset + uv_crop_height,
size//2 + uv_channel_x_offset:size//2 + uv_channel_x_offset + uv_crop_width
] = frame[
v2[1]:v2[3],
v2[0]:v2[2]
]
size
+ size // 4
+ uv_channel_y_offset : size
+ size // 4
+ uv_channel_y_offset
+ uv_crop_height,
size // 2
+ uv_channel_x_offset : size // 2
+ uv_channel_x_offset
+ uv_crop_width,
] = frame[v2[1] : v2[3], v2[0] : v2[2]]
return cv2.cvtColor(yuv_cropped_frame, cv2.COLOR_YUV2RGB_I420)
except:
@@ -213,27 +234,32 @@ def yuv_region_2_rgb(frame, region):
print(f"region: {region}")
raise
def intersection(box_a, box_b):
return (
max(box_a[0], box_b[0]),
max(box_a[1], box_b[1]),
min(box_a[2], box_b[2]),
min(box_a[3], box_b[3])
min(box_a[3], box_b[3]),
)
def area(box):
return (box[2]-box[0] + 1)*(box[3]-box[1] + 1)
return (box[2] - box[0] + 1) * (box[3] - box[1] + 1)
def intersection_over_union(box_a, box_b):
# determine the (x, y)-coordinates of the intersection rectangle
intersect = intersection(box_a, box_b)
# compute the area of intersection rectangle
inter_area = max(0, intersect[2] - intersect[0] + 1) * max(0, intersect[3] - intersect[1] + 1)
inter_area = max(0, intersect[2] - intersect[0] + 1) * max(
0, intersect[3] - intersect[1] + 1
)
if inter_area == 0:
return 0.0
# compute the area of both the prediction and ground-truth
# rectangles
box_a_area = (box_a[2] - box_a[0] + 1) * (box_a[3] - box_a[1] + 1)
@@ -247,25 +273,29 @@ def intersection_over_union(box_a, box_b):
# return the intersection over union value
return iou
def clipped(obj, frame_shape):
# if the object is within 5 pixels of the region border, and the region is not on the edge
# consider the object to be clipped
box = obj[2]
region = obj[4]
if ((region[0] > 5 and box[0]-region[0] <= 5) or
(region[1] > 5 and box[1]-region[1] <= 5) or
(frame_shape[1]-region[2] > 5 and region[2]-box[2] <= 5) or
(frame_shape[0]-region[3] > 5 and region[3]-box[3] <= 5)):
if (
(region[0] > 5 and box[0] - region[0] <= 5)
or (region[1] > 5 and box[1] - region[1] <= 5)
or (frame_shape[1] - region[2] > 5 and region[2] - box[2] <= 5)
or (frame_shape[0] - region[3] > 5 and region[3] - box[3] <= 5)
):
return True
else:
return False
class EventsPerSecond:
def __init__(self, max_events=1000):
self._start = None
self._max_events = max_events
self._timestamps = []
def start(self):
self._start = datetime.datetime.now().timestamp()
@@ -274,23 +304,28 @@ class EventsPerSecond:
self.start()
self._timestamps.append(datetime.datetime.now().timestamp())
# truncate the list when it goes 100 over the max_size
if len(self._timestamps) > self._max_events+100:
self._timestamps = self._timestamps[(1-self._max_events):]
if len(self._timestamps) > self._max_events + 100:
self._timestamps = self._timestamps[(1 - self._max_events) :]
def eps(self, last_n_seconds=10):
if self._start is None:
self.start()
# compute the (approximate) events in the last n seconds
# compute the (approximate) events in the last n seconds
now = datetime.datetime.now().timestamp()
seconds = min(now-self._start, last_n_seconds)
return len([t for t in self._timestamps if t > (now-last_n_seconds)]) / seconds
seconds = min(now - self._start, last_n_seconds)
return (
len([t for t in self._timestamps if t > (now - last_n_seconds)]) / seconds
)
def print_stack(sig, frame):
traceback.print_stack(frame)
def listen():
signal.signal(signal.SIGUSR1, print_stack)
def create_mask(frame_shape, mask):
mask_img = np.zeros(frame_shape, np.uint8)
mask_img[:] = 255
@@ -304,11 +339,15 @@ def create_mask(frame_shape, mask):
return mask_img
def add_mask(mask, mask_img):
points = mask.split(',')
contour = np.array([[int(points[i]), int(points[i+1])] for i in range(0, len(points), 2)])
points = mask.split(",")
contour = np.array(
[[int(points[i]), int(points[i + 1])] for i in range(0, len(points), 2)]
)
cv2.fillPoly(mask_img, pts=[contour], color=(0))
class FrameManager(ABC):
@abstractmethod
def create(self, name, size) -> AnyStr:
@@ -326,29 +365,31 @@ class FrameManager(ABC):
def delete(self, name):
pass
class DictFrameManager(FrameManager):
def __init__(self):
self.frames = {}
def create(self, name, size) -> AnyStr:
mem = bytearray(size)
self.frames[name] = mem
return mem
def get(self, name, shape):
mem = self.frames[name]
return np.ndarray(shape, dtype=np.uint8, buffer=mem)
def close(self, name):
pass
def delete(self, name):
del self.frames[name]
class SharedMemoryFrameManager(FrameManager):
def __init__(self):
self.shm_store = {}
def create(self, name, size) -> AnyStr:
shm = shared_memory.SharedMemory(name=name, create=True, size=size)
self.shm_store[name] = shm