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mmcv.visualization.image 源代码

# Copyright (c) OpenMMLab. All rights reserved.
from typing import List, Optional, Union

import cv2
import numpy as np

from mmcv.image import imread, imwrite
from .color import Color, color_val

# a type alias declares the optional types of color argument
ColorType = Union[Color, str, tuple, int, np.ndarray]


[文档]def imshow(img: Union[str, np.ndarray], win_name: str = '', wait_time: int = 0): """Show an image. Args: img (str or ndarray): The image to be displayed. win_name (str): The window name. wait_time (int): Value of waitKey param. """ cv2.imshow(win_name, imread(img)) if wait_time == 0: # prevent from hanging if windows was closed while True: ret = cv2.waitKey(1) closed = cv2.getWindowProperty(win_name, cv2.WND_PROP_VISIBLE) < 1 # if user closed window or if some key pressed if closed or ret != -1: break else: ret = cv2.waitKey(wait_time)
[文档]def imshow_bboxes(img: Union[str, np.ndarray], bboxes: Union[list, np.ndarray], colors: ColorType = 'green', top_k: int = -1, thickness: int = 1, show: bool = True, win_name: str = '', wait_time: int = 0, out_file: Optional[str] = None): """Draw bboxes on an image. Args: img (str or ndarray): The image to be displayed. bboxes (list or ndarray): A list of ndarray of shape (k, 4). colors (Color or str or tuple or int or ndarray): A list of colors. top_k (int): Plot the first k bboxes only if set positive. thickness (int): Thickness of lines. show (bool): Whether to show the image. win_name (str): The window name. wait_time (int): Value of waitKey param. out_file (str, optional): The filename to write the image. Returns: ndarray: The image with bboxes drawn on it. """ img = imread(img) img = np.ascontiguousarray(img) if isinstance(bboxes, np.ndarray): bboxes = [bboxes] if not isinstance(colors, list): colors = [colors for _ in range(len(bboxes))] colors = [color_val(c) for c in colors] assert len(bboxes) == len(colors) for i, _bboxes in enumerate(bboxes): _bboxes = _bboxes.astype(np.int32) if top_k <= 0: _top_k = _bboxes.shape[0] else: _top_k = min(top_k, _bboxes.shape[0]) for j in range(_top_k): left_top = (_bboxes[j, 0], _bboxes[j, 1]) right_bottom = (_bboxes[j, 2], _bboxes[j, 3]) cv2.rectangle( img, left_top, right_bottom, colors[i], thickness=thickness) if show: imshow(img, win_name, wait_time) if out_file is not None: imwrite(img, out_file) return img
[文档]def imshow_det_bboxes(img: Union[str, np.ndarray], bboxes: np.ndarray, labels: np.ndarray, class_names: List[str] = None, score_thr: float = 0, bbox_color: ColorType = 'green', text_color: ColorType = 'green', thickness: int = 1, font_scale: float = 0.5, show: bool = True, win_name: str = '', wait_time: int = 0, out_file: Optional[str] = None): """Draw bboxes and class labels (with scores) on an image. Args: img (str or ndarray): The image to be displayed. bboxes (ndarray): Bounding boxes (with scores), shaped (n, 4) or (n, 5). labels (ndarray): Labels of bboxes. class_names (list[str]): Names of each classes. score_thr (float): Minimum score of bboxes to be shown. bbox_color (Color or str or tuple or int or ndarray): Color of bbox lines. text_color (Color or str or tuple or int or ndarray): Color of texts. thickness (int): Thickness of lines. font_scale (float): Font scales of texts. show (bool): Whether to show the image. win_name (str): The window name. wait_time (int): Value of waitKey param. out_file (str or None): The filename to write the image. Returns: ndarray: The image with bboxes drawn on it. """ assert bboxes.ndim == 2 assert labels.ndim == 1 assert bboxes.shape[0] == labels.shape[0] assert bboxes.shape[1] == 4 or bboxes.shape[1] == 5 img = imread(img) img = np.ascontiguousarray(img) if score_thr > 0: assert bboxes.shape[1] == 5 scores = bboxes[:, -1] inds = scores > score_thr bboxes = bboxes[inds, :] labels = labels[inds] bbox_color = color_val(bbox_color) text_color = color_val(text_color) for bbox, label in zip(bboxes, labels): bbox_int = bbox.astype(np.int32) left_top = (bbox_int[0], bbox_int[1]) right_bottom = (bbox_int[2], bbox_int[3]) cv2.rectangle( img, left_top, right_bottom, bbox_color, thickness=thickness) label_text = class_names[ label] if class_names is not None else f'cls {label}' if len(bbox) > 4: label_text += f'|{bbox[-1]:.02f}' cv2.putText(img, label_text, (bbox_int[0], bbox_int[1] - 2), cv2.FONT_HERSHEY_COMPLEX, font_scale, text_color) if show: imshow(img, win_name, wait_time) if out_file is not None: imwrite(img, out_file) return img
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