mirror of https://github.com/opencv/opencv.git
Open Source Computer Vision Library
https://opencv.org/
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228 lines
9.2 KiB
228 lines
9.2 KiB
3 years ago
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#!/usr/bin/env python
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import numpy as np
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import cv2 as cv
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import os
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import sys
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import unittest
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from tests_common import NewOpenCVTests
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try:
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if sys.version_info[:2] < (3, 0):
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raise unittest.SkipTest('Python 2.x is not supported')
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# FIXME: FText isn't supported yet.
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class gapi_render_test(NewOpenCVTests):
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def __init__(self, *args):
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super().__init__(*args)
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self.size = (300, 300, 3)
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# Rect
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self.rect = (30, 30, 50, 50)
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self.rcolor = (0, 255, 0)
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self.rlt = cv.LINE_4
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self.rthick = 2
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self.rshift = 3
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# Text
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self.text = 'Hello, world!'
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self.org = (100, 100)
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self.ff = cv.FONT_HERSHEY_SIMPLEX
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self.fs = 1.0
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self.tthick = 2
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self.tlt = cv.LINE_8
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self.tcolor = (255, 255, 255)
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self.blo = False
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# Circle
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self.center = (200, 200)
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self.radius = 200
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self.ccolor = (255, 255, 0)
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self.cthick = 2
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self.clt = cv.LINE_4
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self.cshift = 1
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# Line
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self.pt1 = (50, 50)
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self.pt2 = (200, 200)
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self.lcolor = (0, 255, 128)
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self.lthick = 5
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self.llt = cv.LINE_8
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self.lshift = 2
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# Poly
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self.pts = [(50, 100), (100, 200), (25, 250)]
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self.pcolor = (0, 0, 255)
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self.pthick = 3
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self.plt = cv.LINE_4
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self.pshift = 1
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# Image
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self.iorg = (150, 150)
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img_path = self.find_file('cv/face/david2.jpg', [os.environ.get('OPENCV_TEST_DATA_PATH')])
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self.img = cv.resize(cv.imread(img_path), (50, 50))
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self.alpha = np.full(self.img.shape[:2], 0.8, dtype=np.float32)
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# Mosaic
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self.mos = (100, 100, 100, 100)
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self.cell_sz = 25
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self.decim = 0
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# Render primitives
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self.prims = [cv.gapi.wip.draw.Rect(self.rect, self.rcolor, self.rthick, self.rlt, self.rshift),
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cv.gapi.wip.draw.Text(self.text, self.org, self.ff, self.fs, self.tcolor, self.tthick, self.tlt, self.blo),
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cv.gapi.wip.draw.Circle(self.center, self.radius, self.ccolor, self.cthick, self.clt, self.cshift),
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cv.gapi.wip.draw.Line(self.pt1, self.pt2, self.lcolor, self.lthick, self.llt, self.lshift),
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cv.gapi.wip.draw.Mosaic(self.mos, self.cell_sz, self.decim),
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cv.gapi.wip.draw.Image(self.iorg, self.img, self.alpha),
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cv.gapi.wip.draw.Poly(self.pts, self.pcolor, self.pthick, self.plt, self.pshift)]
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def cvt_nv12_to_yuv(self, y, uv):
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h,w,_ = uv.shape
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upsample_uv = cv.resize(uv, (h * 2, w * 2))
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return cv.merge([y, upsample_uv])
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def cvt_yuv_to_nv12(self, yuv, y_out, uv_out):
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chs = cv.split(yuv, [y_out, None, None])
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uv = cv.merge([chs[1], chs[2]])
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uv_out = cv.resize(uv, (uv.shape[0] // 2, uv.shape[1] // 2), dst=uv_out)
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return y_out, uv_out
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def cvt_bgr_to_yuv_color(self, bgr):
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y = bgr[2] * 0.299000 + bgr[1] * 0.587000 + bgr[0] * 0.114000;
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u = bgr[2] * -0.168736 + bgr[1] * -0.331264 + bgr[0] * 0.500000 + 128;
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v = bgr[2] * 0.500000 + bgr[1] * -0.418688 + bgr[0] * -0.081312 + 128;
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return (y, u, v)
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def blend_img(self, background, org, img, alpha):
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x, y = org
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h, w, _ = img.shape
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roi_img = background[x:x+w, y:y+h, :]
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img32f_w = cv.merge([alpha] * 3).astype(np.float32)
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roi32f_w = np.full(roi_img.shape, 1.0, dtype=np.float32)
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roi32f_w -= img32f_w
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img32f = (img / 255).astype(np.float32)
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roi32f = (roi_img / 255).astype(np.float32)
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cv.multiply(img32f, img32f_w, dst=img32f)
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cv.multiply(roi32f, roi32f_w, dst=roi32f)
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roi32f += img32f
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roi_img[...] = np.round(roi32f * 255)
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# This is quite naive implementations used as a simple reference
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# doesn't consider corner cases.
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def draw_mosaic(self, img, mos, cell_sz, decim):
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x,y,w,h = mos
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mosaic_area = img[x:x+w, y:y+h, :]
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for i in range(0, mosaic_area.shape[0], cell_sz):
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for j in range(0, mosaic_area.shape[1], cell_sz):
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cell_roi = mosaic_area[j:j+cell_sz, i:i+cell_sz, :]
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s0, s1, s2 = cv.mean(cell_roi)[:3]
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mosaic_area[j:j+cell_sz, i:i+cell_sz] = (round(s0), round(s1), round(s2))
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def render_primitives_bgr_ref(self, img):
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cv.rectangle(img, self.rect, self.rcolor, self.rthick, self.rlt, self.rshift)
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cv.putText(img, self.text, self.org, self.ff, self.fs, self.tcolor, self.tthick, self.tlt, self.blo)
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cv.circle(img, self.center, self.radius, self.ccolor, self.cthick, self.clt, self.cshift)
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cv.line(img, self.pt1, self.pt2, self.lcolor, self.lthick, self.llt, self.lshift)
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cv.fillPoly(img, np.expand_dims(np.array([self.pts]), axis=0), self.pcolor, self.plt, self.pshift)
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self.draw_mosaic(img, self.mos, self.cell_sz, self.decim)
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self.blend_img(img, self.iorg, self.img, self.alpha)
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def render_primitives_nv12_ref(self, y_plane, uv_plane):
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yuv = self.cvt_nv12_to_yuv(y_plane, uv_plane)
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cv.rectangle(yuv, self.rect, self.cvt_bgr_to_yuv_color(self.rcolor), self.rthick, self.rlt, self.rshift)
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cv.putText(yuv, self.text, self.org, self.ff, self.fs, self.cvt_bgr_to_yuv_color(self.tcolor), self.tthick, self.tlt, self.blo)
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cv.circle(yuv, self.center, self.radius, self.cvt_bgr_to_yuv_color(self.ccolor), self.cthick, self.clt, self.cshift)
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cv.line(yuv, self.pt1, self.pt2, self.cvt_bgr_to_yuv_color(self.lcolor), self.lthick, self.llt, self.lshift)
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cv.fillPoly(yuv, np.expand_dims(np.array([self.pts]), axis=0), self.cvt_bgr_to_yuv_color(self.pcolor), self.plt, self.pshift)
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self.draw_mosaic(yuv, self.mos, self.cell_sz, self.decim)
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self.blend_img(yuv, self.iorg, cv.cvtColor(self.img, cv.COLOR_BGR2YUV), self.alpha)
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self.cvt_yuv_to_nv12(yuv, y_plane, uv_plane)
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def test_render_primitives_on_bgr_graph(self):
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expected = np.zeros(self.size, dtype=np.uint8)
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actual = np.array(expected, copy=True)
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# OpenCV
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self.render_primitives_bgr_ref(expected)
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# G-API
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g_in = cv.GMat()
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g_prims = cv.GArray.Prim()
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g_out = cv.gapi.wip.draw.render3ch(g_in, g_prims)
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comp = cv.GComputation(cv.GIn(g_in, g_prims), cv.GOut(g_out))
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actual = comp.apply(cv.gin(actual, self.prims))
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self.assertEqual(0.0, cv.norm(expected, actual, cv.NORM_INF))
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def test_render_primitives_on_bgr_function(self):
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expected = np.zeros(self.size, dtype=np.uint8)
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actual = np.array(expected, copy=True)
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# OpenCV
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self.render_primitives_bgr_ref(expected)
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# G-API
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cv.gapi.wip.draw.render(actual, self.prims)
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self.assertEqual(0.0, cv.norm(expected, actual, cv.NORM_INF))
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def test_render_primitives_on_nv12_graph(self):
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y_expected = np.zeros((self.size[0], self.size[1], 1), dtype=np.uint8)
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uv_expected = np.zeros((self.size[0] // 2, self.size[1] // 2, 2), dtype=np.uint8)
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y_actual = np.array(y_expected, copy=True)
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uv_actual = np.array(uv_expected, copy=True)
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# OpenCV
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self.render_primitives_nv12_ref(y_expected, uv_expected)
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# G-API
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g_y = cv.GMat()
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g_uv = cv.GMat()
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g_prims = cv.GArray.Prim()
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g_out_y, g_out_uv = cv.gapi.wip.draw.renderNV12(g_y, g_uv, g_prims)
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comp = cv.GComputation(cv.GIn(g_y, g_uv, g_prims), cv.GOut(g_out_y, g_out_uv))
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y_actual, uv_actual = comp.apply(cv.gin(y_actual, uv_actual, self.prims))
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self.assertEqual(0.0, cv.norm(y_expected, y_actual, cv.NORM_INF))
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self.assertEqual(0.0, cv.norm(uv_expected, uv_actual, cv.NORM_INF))
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def test_render_primitives_on_nv12_function(self):
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y_expected = np.zeros((self.size[0], self.size[1], 1), dtype=np.uint8)
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uv_expected = np.zeros((self.size[0] // 2, self.size[1] // 2, 2), dtype=np.uint8)
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y_actual = np.array(y_expected, copy=True)
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uv_actual = np.array(uv_expected, copy=True)
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# OpenCV
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self.render_primitives_nv12_ref(y_expected, uv_expected)
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# G-API
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cv.gapi.wip.draw.render(y_actual, uv_actual, self.prims)
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self.assertEqual(0.0, cv.norm(y_expected, y_actual, cv.NORM_INF))
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self.assertEqual(0.0, cv.norm(uv_expected, uv_actual, cv.NORM_INF))
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except unittest.SkipTest as e:
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message = str(e)
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class TestSkip(unittest.TestCase):
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def setUp(self):
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self.skipTest('Skip tests: ' + message)
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def test_skip():
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pass
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pass
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if __name__ == '__main__':
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NewOpenCVTests.bootstrap()
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