# Copyright (c) Open-MMLab. All rights reserved. import os import os.path as osp import tempfile from pathlib import Path from unittest.mock import patch import cv2 import numpy as np import pytest from numpy.testing import assert_allclose, assert_array_equal import mmcv class TestIO: @classmethod def setup_class(cls): cls.data_dir = osp.join(osp.dirname(__file__), '../data') # the test img resolution is 400x300 cls.img_path = osp.join(cls.data_dir, 'color.jpg') cls.img_path_obj = Path(cls.img_path) cls.gray_img_path = osp.join(cls.data_dir, 'grayscale.jpg') cls.gray_img_path_obj = Path(cls.gray_img_path) cls.gray_img_dim3_path = osp.join(cls.data_dir, 'grayscale_dim3.jpg') cls.img = cv2.imread(cls.img_path) def assert_img_equal(self, img, ref_img, ratio_thr=0.999): assert img.shape == ref_img.shape assert img.dtype == ref_img.dtype area = ref_img.shape[0] * ref_img.shape[1] diff = np.abs(img.astype('int32') - ref_img.astype('int32')) assert np.sum(diff <= 1) / float(area) > ratio_thr def test_imread(self): # backend cv2 mmcv.use_backend('cv2') img_cv2_color_bgr = mmcv.imread(self.img_path) assert img_cv2_color_bgr.shape == (300, 400, 3) img_cv2_color_rgb = mmcv.imread(self.img_path, channel_order='rgb') assert img_cv2_color_rgb.shape == (300, 400, 3) assert_array_equal(img_cv2_color_rgb[:, :, ::-1], img_cv2_color_bgr) img_cv2_grayscale1 = mmcv.imread(self.img_path, 'grayscale') assert img_cv2_grayscale1.shape == (300, 400) img_cv2_grayscale2 = mmcv.imread(self.gray_img_path) assert img_cv2_grayscale2.shape == (300, 400, 3) img_cv2_unchanged = mmcv.imread(self.gray_img_path, 'unchanged') assert img_cv2_unchanged.shape == (300, 400) img_cv2_unchanged = mmcv.imread(img_cv2_unchanged) assert_array_equal(img_cv2_unchanged, mmcv.imread(img_cv2_unchanged)) img_cv2_color_bgr = mmcv.imread(self.img_path_obj) assert img_cv2_color_bgr.shape == (300, 400, 3) img_cv2_color_rgb = mmcv.imread(self.img_path_obj, channel_order='rgb') assert img_cv2_color_rgb.shape == (300, 400, 3) assert_array_equal(img_cv2_color_rgb[:, :, ::-1], img_cv2_color_bgr) img_cv2_grayscale1 = mmcv.imread(self.img_path_obj, 'grayscale') assert img_cv2_grayscale1.shape == (300, 400) img_cv2_grayscale2 = mmcv.imread(self.gray_img_path_obj) assert img_cv2_grayscale2.shape == (300, 400, 3) img_cv2_unchanged = mmcv.imread(self.gray_img_path_obj, 'unchanged') assert img_cv2_unchanged.shape == (300, 400) with pytest.raises(TypeError): mmcv.imread(1) # backend pillow mmcv.use_backend('pillow') self.gray_alpha_img_path = osp.join(self.data_dir, 'gray_alpha.png') self.palette_img_path = osp.join(self.data_dir, 'palette.gif') img_pil_grayscale1 = mmcv.imread(self.img_path, 'grayscale') assert img_pil_grayscale1.shape == (300, 400) img_pil_gray_alpha = mmcv.imread(self.gray_alpha_img_path, 'grayscale') assert img_pil_gray_alpha.shape == (400, 500) mean = img_pil_gray_alpha[300:, 400:].mean() assert_allclose(img_pil_gray_alpha[300:, 400:] - mean, 0) img_pil_gray_alpha = mmcv.imread(self.gray_alpha_img_path) mean = img_pil_gray_alpha[300:, 400:].mean(axis=(0, 1)) assert_allclose(img_pil_gray_alpha[300:, 400:] - mean, 0) assert img_pil_gray_alpha.shape == (400, 500, 3) img_pil_gray_alpha = mmcv.imread(self.gray_alpha_img_path, 'unchanged') assert img_pil_gray_alpha.shape == (400, 500, 2) img_pil_palette = mmcv.imread(self.palette_img_path, 'grayscale') assert img_pil_palette.shape == (300, 400) img_pil_palette = mmcv.imread(self.palette_img_path) assert img_pil_palette.shape == (300, 400, 3) img_pil_palette = mmcv.imread(self.palette_img_path, 'unchanged') assert img_pil_palette.shape == (300, 400) img_pil_grayscale2 = mmcv.imread(self.gray_img_path) assert img_pil_grayscale2.shape == (300, 400, 3) img_pil_unchanged = mmcv.imread(self.gray_img_path, 'unchanged') assert img_pil_unchanged.shape == (300, 400) img_pil_unchanged = mmcv.imread(img_pil_unchanged) assert_array_equal(img_pil_unchanged, mmcv.imread(img_pil_unchanged)) img_pil_color_bgr = mmcv.imread(self.img_path_obj) assert img_pil_color_bgr.shape == (300, 400, 3) img_pil_color_rgb = mmcv.imread(self.img_path_obj, channel_order='rgb') assert img_pil_color_rgb.shape == (300, 400, 3) assert (img_pil_color_rgb == img_cv2_color_rgb).sum() / float( img_cv2_color_rgb.size) > 0.5 assert_array_equal(img_pil_color_rgb[:, :, ::-1], img_pil_color_bgr) img_pil_grayscale1 = mmcv.imread(self.img_path_obj, 'grayscale') assert img_pil_grayscale1.shape == (300, 400) img_pil_grayscale2 = mmcv.imread(self.gray_img_path_obj) assert img_pil_grayscale2.shape == (300, 400, 3) img_pil_unchanged = mmcv.imread(self.gray_img_path_obj, 'unchanged') assert img_pil_unchanged.shape == (300, 400) with pytest.raises(TypeError): mmcv.imread(1) # backend turbojpeg mmcv.use_backend('turbojpeg') img_turbojpeg_color_bgr = mmcv.imread(self.img_path) assert img_turbojpeg_color_bgr.shape == (300, 400, 3) assert_array_equal(img_turbojpeg_color_bgr, img_cv2_color_bgr) img_turbojpeg_color_rgb = mmcv.imread( self.img_path, channel_order='rgb') assert img_turbojpeg_color_rgb.shape == (300, 400, 3) assert_array_equal(img_turbojpeg_color_rgb, img_cv2_color_rgb) with pytest.raises(ValueError): mmcv.imread(self.img_path, channel_order='unsupport_order') img_turbojpeg_grayscale1 = mmcv.imread(self.img_path, flag='grayscale') assert img_turbojpeg_grayscale1.shape == (300, 400) assert_array_equal(img_turbojpeg_grayscale1, img_cv2_grayscale1) img_turbojpeg_grayscale2 = mmcv.imread(self.gray_img_path) assert img_turbojpeg_grayscale2.shape == (300, 400, 3) assert_array_equal(img_turbojpeg_grayscale2, img_cv2_grayscale2) img_turbojpeg_grayscale2 = mmcv.imread(img_turbojpeg_grayscale2) assert_array_equal(img_turbojpeg_grayscale2, mmcv.imread(img_turbojpeg_grayscale2)) with pytest.raises(ValueError): mmcv.imread(self.gray_img_path, 'unchanged') with pytest.raises(TypeError): mmcv.imread(1) with pytest.raises(AssertionError): mmcv.use_backend('unsupport_backend') mmcv.use_backend('cv2') def test_imfrombytes(self): # backend cv2, channel order: bgr mmcv.use_backend('cv2') with open(self.img_path, 'rb') as f: img_bytes = f.read() img_cv2 = mmcv.imfrombytes(img_bytes) assert img_cv2.shape == (300, 400, 3) # backend cv2, channel order: rgb mmcv.use_backend('cv2') with open(self.img_path, 'rb') as f: img_bytes = f.read() img_rgb_cv2 = mmcv.imfrombytes(img_bytes, channel_order='rgb') assert img_rgb_cv2.shape == (300, 400, 3) assert_array_equal(img_rgb_cv2, img_cv2[:, :, ::-1]) # backend cv2, grayscale, decode as 3 channels with open(self.gray_img_path, 'rb') as f: img_bytes = f.read() gray_img_rgb_cv2 = mmcv.imfrombytes(img_bytes) assert gray_img_rgb_cv2.shape == (300, 400, 3) # backend cv2, grayscale with open(self.gray_img_path, 'rb') as f: img_bytes = f.read() gray_img_cv2 = mmcv.imfrombytes(img_bytes, flag='grayscale') assert gray_img_cv2.shape == (300, 400) # backend cv2, grayscale dim3 with open(self.gray_img_dim3_path, 'rb') as f: img_bytes = f.read() gray_img_dim3_cv2 = mmcv.imfrombytes(img_bytes, flag='grayscale') assert gray_img_dim3_cv2.shape == (300, 400) # backend pillow, channel order: bgr mmcv.use_backend('pillow') with open(self.img_path, 'rb') as f: img_bytes = f.read() img_pillow = mmcv.imfrombytes(img_bytes) assert img_pillow.shape == (300, 400, 3) # Pillow and opencv decoding may not be the same assert (img_cv2 == img_pillow).sum() / float(img_cv2.size) > 0.5 # backend turbojpeg, channel order: bgr mmcv.use_backend('turbojpeg') with open(self.img_path, 'rb') as f: img_bytes = f.read() img_turbojpeg = mmcv.imfrombytes(img_bytes) assert img_turbojpeg.shape == (300, 400, 3) assert_array_equal(img_cv2, img_turbojpeg) # backend turbojpeg, channel order: rgb mmcv.use_backend('cv2') with open(self.img_path, 'rb') as f: img_bytes = f.read() img_rgb_turbojpeg = mmcv.imfrombytes(img_bytes, channel_order='rgb') assert img_rgb_turbojpeg.shape == (300, 400, 3) assert_array_equal(img_rgb_turbojpeg, img_cv2[:, :, ::-1]) # backend turbojpeg, grayscale, decode as 3 channels with open(self.gray_img_path, 'rb') as f: img_bytes = f.read() gray_img_turbojpeg = mmcv.imfrombytes(img_bytes) assert gray_img_turbojpeg.shape == (300, 400, 3) assert_array_equal(gray_img_rgb_cv2, gray_img_turbojpeg) # backend turbojpeg, grayscale with open(self.gray_img_path, 'rb') as f: img_bytes = f.read() gray_img_turbojpeg = mmcv.imfrombytes(img_bytes, flag='grayscale') assert gray_img_turbojpeg.shape == (300, 400) assert_array_equal(gray_img_cv2, gray_img_turbojpeg) # backend turbojpeg, grayscale dim3 with open(self.gray_img_dim3_path, 'rb') as f: img_bytes = f.read() gray_img_dim3_turbojpeg = mmcv.imfrombytes(img_bytes, flag='grayscale') assert gray_img_dim3_turbojpeg.shape == (300, 400) assert_array_equal(gray_img_dim3_cv2, gray_img_dim3_turbojpeg) mmcv.use_backend('cv2') def test_imwrite(self): img = mmcv.imread(self.img_path) out_file = osp.join(tempfile.gettempdir(), 'mmcv_test.jpg') mmcv.imwrite(img, out_file) rewrite_img = mmcv.imread(out_file) os.remove(out_file) self.assert_img_equal(img, rewrite_img) ret = mmcv.imwrite( img, './non_exist_path/mmcv_test.jpg', auto_mkdir=False) assert ret is False @patch('mmcv.image.io.TurboJPEG', None) def test_no_turbojpeg(self): with pytest.raises(ImportError): mmcv.use_backend('turbojpeg') mmcv.use_backend('cv2')