# Copyright (c) 2020 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. from __future__ import division from __future__ import print_function import numpy as np from PIL import Image, ImageDraw import logging logger = logging.getLogger(__name__) __all__ = ['draw_bbox'] def color_map(num_classes): color_map = num_classes * [0, 0, 0] for i in range(0, num_classes): j = 0 lab = i while lab: color_map[i * 3] |= (((lab >> 0) & 1) << (7 - j)) color_map[i * 3 + 1] |= (((lab >> 1) & 1) << (7 - j)) color_map[i * 3 + 2] |= (((lab >> 2) & 1) << (7 - j)) j += 1 lab >>= 3 color_map = np.array(color_map).reshape(-1, 3) return color_map def draw_bbox(image, catid2name, bboxes, threshold): """ Draw bbox on image """ bboxes = np.array(bboxes) if bboxes.shape[1] != 6: logger.info("No bbox detect") return image draw = ImageDraw.Draw(image) catid2color = {} color_list = color_map(len(catid2name)) for bbox in bboxes: catid, score, xmin, ymin, xmax, ymax = bbox if score < threshold: continue if catid not in catid2color: idx = np.random.randint(len(color_list)) catid2color[catid] = color_list[idx] color = tuple(catid2color[catid]) # draw bbox draw.line( [(xmin, ymin), (xmin, ymax), (xmax, ymax), (xmax, ymin), (xmin, ymin)], width=2, fill=color) logger.info("detect {} at {} score: {:.2f}".format(catid2name[int( catid)], [xmin, ymin, xmax, ymax], score)) # draw label text = "{} {:.2f}".format(catid2name[catid], score) tw, th = draw.textsize(text) draw.rectangle( [(xmin + 1, ymin - th), (xmin + tw + 1, ymin)], fill=color) draw.text((xmin + 1, ymin - th), text, fill=(255, 255, 255)) return image