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nvidia--tensorrt/samples/python/dds_faster_rcnn/visualize.py
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Python

#
# SPDX-FileCopyrightText: Copyright (c) 1993-2025 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
# SPDX-License-Identifier: Apache-2.0
#
# 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 numpy as np
import PIL.Image as Image
import PIL.ImageDraw as ImageDraw
import PIL.ImageFont as ImageFont
COLORS = [
"GoldenRod",
"MediumTurquoise",
"GreenYellow",
"SteelBlue",
"DarkSeaGreen",
"SeaShell",
"LightGrey",
"IndianRed",
"DarkKhaki",
"LawnGreen",
"WhiteSmoke",
"Peru",
"LightCoral",
"FireBrick",
"OldLace",
"LightBlue",
"SlateGray",
"OliveDrab",
"NavajoWhite",
"PaleVioletRed",
"SpringGreen",
"AliceBlue",
"Violet",
"DeepSkyBlue",
"Red",
"MediumVioletRed",
"PaleTurquoise",
"Tomato",
"Azure",
"Yellow",
"Cornsilk",
"Aquamarine",
"CadetBlue",
"CornflowerBlue",
"DodgerBlue",
"Olive",
"Orchid",
"LemonChiffon",
"Sienna",
"OrangeRed",
"Orange",
"DarkSalmon",
"Magenta",
"Wheat",
"Lime",
"GhostWhite",
"SlateBlue",
"Aqua",
"MediumAquaMarine",
"LightSlateGrey",
"MediumSeaGreen",
"SandyBrown",
"YellowGreen",
"Plum",
"FloralWhite",
"LightPink",
"Thistle",
"DarkViolet",
"Pink",
"Crimson",
"Chocolate",
"DarkGrey",
"Ivory",
"PaleGreen",
"DarkGoldenRod",
"LavenderBlush",
"SlateGrey",
"DeepPink",
"Gold",
"Cyan",
"LightSteelBlue",
"MediumPurple",
"ForestGreen",
"DarkOrange",
"Tan",
"Salmon",
"PaleGoldenRod",
"LightGreen",
"LightSlateGray",
"HoneyDew",
"Fuchsia",
"LightSeaGreen",
"DarkOrchid",
"Green",
"Chartreuse",
"LimeGreen",
"AntiqueWhite",
"Beige",
"Gainsboro",
"Bisque",
"SaddleBrown",
"Silver",
"Lavender",
"Teal",
"LightCyan",
"PapayaWhip",
"Purple",
"Coral",
"BurlyWood",
"LightGray",
"Snow",
"MistyRose",
"PowderBlue",
"DarkCyan",
"White",
"Turquoise",
"MediumSlateBlue",
"PeachPuff",
"Moccasin",
"LightSalmon",
"SkyBlue",
"Khaki",
"MediumSpringGreen",
"BlueViolet",
"MintCream",
"Linen",
"SeaGreen",
"HotPink",
"LightYellow",
"BlanchedAlmond",
"RoyalBlue",
"RosyBrown",
"MediumOrchid",
"DarkTurquoise",
"LightGoldenRodYellow",
"LightSkyBlue",
]
def visualize_detections(image_path, output_path, detections, labels=[]):
image = Image.open(image_path).convert(mode="RGB")
draw = ImageDraw.Draw(image)
line_width = 2
font = ImageFont.load_default()
for d in detections:
color = COLORS[d["class"] % len(COLORS)]
draw.line(
[
(d["xmin"], d["ymin"]),
(d["xmin"], d["ymax"]),
(d["xmax"], d["ymax"]),
(d["xmax"], d["ymin"]),
(d["xmin"], d["ymin"]),
],
width=line_width,
fill=color,
)
label = f"Class {d['class']}"
if d["class"] < len(labels):
label = f"{labels[d['class']]}"
score = d["score"]
text = f"{label}: {int(100*score)}%"
if score < 0:
text = label
left, top, right, bottom = font.getbbox(text)
text_width, text_height = right - left, bottom - top
text_bottom = max(text_height, d["ymin"])
text_left = d["xmin"]
margin = np.ceil(0.05 * text_height)
draw.rectangle(
[
(text_left, text_bottom - text_height - 2 * margin),
(text_left + text_width, text_bottom),
],
fill=color,
)
draw.text(
(text_left + margin, text_bottom - text_height - margin),
text,
fill="black",
font=font,
)
if output_path is None:
return image
image.save(output_path)