def onChange(trackbarValue):
vid.set(1, trackbarValue)
ret, frame = vid.read()
frame = cv2.resize(frame, (0, 0), fx=resz_val, fy=resz_val)
methods.enable_point_capture(constant.CAPTURE_VERTICES)
frame = methods.draw_points_mousepos(frame, methods.quadratpts,
methods.posmouse)
M, width, height, side, vertices_draw, IM, conversion = methods.calc_proj(
methods.quadratpts)
frame = cv2.warpPerspective(frame, M, (width, height))
# frame = cv2.resize(frame, dsize=(0, 0), fx=args["zoom"], fy=args["zoom"], interpolation=cv2.INTER_NEAREST)
# frame = cv2.resize(frame, (960, 540))
cv2.imshow('Measure object length', frame)
pass
track_meta["vertice_2"].values[0],
track_meta["vertice_3"].values[0],
track_meta["vertice_4"].values[0]]
df = pd.DataFrame(quadrat_vertices, columns=["vertices_x"])
df["vertices_x"] = df["vertices_x"].map(lambda x: x.lstrip("(").rstrip(")"))
df[["vertices_x", "vertices_y"]] = df["vertices_x"].str.split(",", expand=True)
quadrat_vertices = [(int(df.iloc[0, 0]), int(df.iloc[0, 1])),
(int(df.iloc[1, 0]), int(df.iloc[1, 1])),
(int(df.iloc[2, 0]), int(df.iloc[2, 1])),
(int(df.iloc[3, 0]), int(df.iloc[3, 1]))]
# print(df)
# print(quadrat_vertices)
video_name, vid, length_vid, fps, _, _, vid_duration, _ = methods.read_video(file_name)
M, side, vertices_draw, IM, conversion = methods.calc_proj(quadrat_vertices)
pts = deque(maxlen=int(track_meta["length_video"].values[0])+250)
(dX, dY) = (0, 0)
target = 1
vid.set(1, target)
counter = target
# color1 = [random.randint(0,255), random.randint(0,255), random.randint(0,255)]
color1 = methods.select_color(1)
# print(name_color)
while vid.isOpened():
ret, img = vid.read()
if ret:
if len(methods.quadratpts) == 4:
print(
"Vertices were captured. Coordinates in pixels are: top-left {}, top-right {}, "
"bottom-left {}, and bottom-right {}".format(*methods.quadratpts))
break
key = cv2.waitKey(1) & 0xFF
if key == ord("q"):
# print("Q - key pressed. Window quit by user")
break
# vid.release()
cv2.destroyAllWindows()
M, side, vertices_draw, IM, conversion = methods.calc_proj(methods.quadratpts)
center = (0, 0)
mini = np.amin(vertices_draw, axis=0)
maxi = np.amax(vertices_draw, axis=0)
ok, frame = vid.read()
frame = cv2.warpPerspective(frame, M, (side, side))
if not ok:
print("Cannot read video file")
sys.exit()
counter = 0
startTime = datetime.now()
cv2.destroyAllWindows()
track_meta["vertice_2"].values[0],
track_meta["vertice_3"].values[0],
track_meta["vertice_4"].values[0]]
df = pd.DataFrame(quadrat_vertices, columns=["vertices_x"])
df["vertices_x"] = df["vertices_x"].map(lambda x: x.lstrip("(").rstrip(")"))
df[["vertices_x", "vertices_y"]] = df["vertices_x"].str.split(",", expand=True)
quadrat_vertices = [(int(df.iloc[0, 0]), int(df.iloc[0, 1])),
(int(df.iloc[1, 0]), int(df.iloc[1, 1])),
(int(df.iloc[2, 0]), int(df.iloc[2, 1])),
(int(df.iloc[3, 0]), int(df.iloc[3, 1]))]
video_name, vid, length_vid, fps, _, _, vid_duration, _ = methods.read_video(file_name)
vid, target_frame = methods.set_video_star(vid, args["seconds"], args["frame"], fps)
M, width, height, side, vertices_draw, IM, conversion = methods.calc_proj(quadrat_vertices)
pts = deque(maxlen=int(track_meta["length_video"].values[0])+250)
(dX, dY) = (0, 0)
counter = target_frame
individuals = track.Crab_ID.unique()
colours = methods.select_color(len(individuals))
crab_colors = dict(zip(individuals, colours))
print("\n".join("{}\t{}".format(k, v) for k, v in crab_colors.items()))
dict_ind = dict(tuple(track.groupby("Crab_ID")))
f_number = dict(tuple(track.groupby("Frame_number")))
f_max = track["Frame_number"].max()
while vid.isOpened():
