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# Copyright (c) 2021 PaddlePaddle Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
import cv2
import numpy as np
def get_color(idx):
idx = idx * 3
color = ((37 * idx) % 255, (17 * idx) % 255, (29 * idx) % 255)
return color
def plot_tracking(image,
tlwhs,
obj_ids,
scores=None,
frame_id=0,
fps=0.,
ids2names=[]):
im = np.ascontiguousarray(np.copy(image))
im_h, im_w = im.shape[:2]
top_view = np.zeros([im_w, im_w, 3], dtype=np.uint8) + 255
text_scale = max(1, image.shape[1] / 1600.)
text_thickness = 2
line_thickness = max(1, int(image.shape[1] / 500.))
radius = max(5, int(im_w / 140.))
cv2.putText(
im,
'frame: %d fps: %.2f num: %d' % (frame_id, fps, len(tlwhs)),
(0, int(15 * text_scale)),
cv2.FONT_HERSHEY_PLAIN,
text_scale, (0, 0, 255),
thickness=2)
for i, tlwh in enumerate(tlwhs):
x1, y1, w, h = tlwh
intbox = tuple(map(int, (x1, y1, x1 + w, y1 + h)))
obj_id = int(obj_ids[i])
id_text = '{}'.format(int(obj_id))
if ids2names != []:
assert len(
ids2names) == 1, "plot_tracking only supports single classes."
id_text = '{}_'.format(ids2names[0]) + id_text
_line_thickness = 1 if obj_id <= 0 else line_thickness
color = get_color(abs(obj_id))
cv2.rectangle(
im, intbox[0:2], intbox[2:4], color=color, thickness=line_thickness)
cv2.putText(
im,
id_text, (intbox[0], intbox[1] - 10),
cv2.FONT_HERSHEY_PLAIN,
text_scale, (0, 0, 255),
thickness=text_thickness)
if scores is not None:
text = '{:.2f}'.format(float(scores[i]))
cv2.putText(
im,
text, (intbox[0], intbox[1] + 10),
cv2.FONT_HERSHEY_PLAIN,
text_scale, (0, 255, 255),
thickness=text_thickness)
return im
def plot_tracking_dict(image,
num_classes,
tlwhs_dict,
obj_ids_dict,
scores_dict,
frame_id=0,
fps=0.,
ids2names=[]):
im = np.ascontiguousarray(np.copy(image))
im_h, im_w = im.shape[:2]
top_view = np.zeros([im_w, im_w, 3], dtype=np.uint8) + 255
text_scale = max(1, image.shape[1] / 1600.)
text_thickness = 2
line_thickness = max(1, int(image.shape[1] / 500.))
radius = max(5, int(im_w / 140.))
for cls_id in range(num_classes):
tlwhs = tlwhs_dict[cls_id]
obj_ids = obj_ids_dict[cls_id]
scores = scores_dict[cls_id]
cv2.putText(
im,
'frame: %d fps: %.2f num: %d' % (frame_id, fps, len(tlwhs)),
(0, int(15 * text_scale)),
cv2.FONT_HERSHEY_PLAIN,
text_scale, (0, 0, 255),
thickness=2)
for i, tlwh in enumerate(tlwhs):
x1, y1, w, h = tlwh
intbox = tuple(map(int, (x1, y1, x1 + w, y1 + h)))
obj_id = int(obj_ids[i])
id_text = '{}'.format(int(obj_id))
if ids2names != []:
id_text = '{}_{}'.format(ids2names[cls_id], id_text)
else:
id_text = 'class{}_{}'.format(cls_id, id_text)
_line_thickness = 1 if obj_id <= 0 else line_thickness
color = get_color(abs(obj_id))
cv2.rectangle(
im,
intbox[0:2],
intbox[2:4],
color=color,
thickness=line_thickness)
cv2.putText(
im,
id_text, (intbox[0], intbox[1] - 10),
cv2.FONT_HERSHEY_PLAIN,
text_scale, (0, 0, 255),
thickness=text_thickness)
if scores is not None:
text = '{:.2f}'.format(float(scores[i]))
cv2.putText(
im,
text, (intbox[0], intbox[1] + 10),
cv2.FONT_HERSHEY_PLAIN,
text_scale, (0, 255, 255),
thickness=text_thickness)
return im
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