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How to use render_result method in Lemoncheesecake
Best Python code snippet using lemoncheesecake
test_html_render.py
Source:test_html_render.py 
...6"""7from io import StringIO8from html_elements import *9import pytest10def render_result(element, data="", ind=""):11 f = StringIO()12 if data:13 element.render(f, ind)14 else:15 element.render(f, ind)16 return f.getvalue()17# ----------------- STEP 1 ----------------- #18def test_init():19 e = Element()20 e = Element("this is some text")21 print(e.contents)22def test_append():23 e = Element("this is some text")24 e.append("some more text")25def test_render_element():26 e = Element("this is some text")27 e.append("and this is some more text")28 file_contents = render_result(e, ind="").strip()29 print(file_contents)30 assert "this is some text" in file_contents31 assert "and this is some more text" in file_contents32 assert file_contents.index("this is") < file_contents.index("and this")33 assert file_contents.startswith("<>")34 assert file_contents.endswith("</>")35def test_render_element2():36 e = Element()37 e.append("this is some text")38 e.append("and this is some more text")39 file_contents = render_result(e, ind="").strip()40 assert "this is some text" in file_contents41 assert "and this is some more text" in file_contents42 assert file_contents.index("this is") < file_contents.index("and this")43 assert file_contents.startswith("<>")44 assert file_contents.endswith("</>")45# ----------------- STEP 2 ----------------- #46def test_html():47 e = Html("this is some text")48 e.append("and this is some more text")49 file_contents = render_result(e, ind="").strip()50 assert "this is some text" in file_contents51 assert "and this is some more text" in file_contents52 print(file_contents)53 assert file_contents.startswith("<!DOCTYPE html>")54 assert file_contents.endswith("</html>")55def test_body():56 e = Body("this is some text")57 e.append("and this is some more text")58 file_contents = render_result(e, ind="").strip()59 print(file_contents)60 assert "this is some text" in file_contents61 assert "and this is some more text" in file_contents62 assert file_contents.startswith("<body>")63 assert file_contents.endswith("</body>")64def test_p():65 e = P("this is some text")66 e.append("and this is some more text")67 file_contents = render_result(e, ind="").strip()68 assert "this is some text" in file_contents69 assert "and this is some more text" in file_contents70 print(file_contents)71 assert file_contents.startswith("<p>")72 assert file_contents.endswith("</p>")73def test_sub_element():74 page = Html()75 page.append("some plain text.")76 page.append(P("A simple paragraph of text"))77 page.append("Some more plain text.")78 file_contents = render_result(page, ind="")79 print(file_contents) # so we can see it if the test fails80 assert "some plain text" in file_contents81 assert "A simple paragraph of text" in file_contents82 assert "Some more plain text." in file_contents83 assert "some plain text" in file_contents84 assert "<p>" in file_contents85 assert "</p>" in file_contents86# ----------------- STEP 3 ----------------- #87def test_head_element():88 page = Html()89 page.append(Head("A header!"))90 page.append(Head("Another header!"))91 page.append("some plain text.")92 page.append(P("A simple paragraph of text"))93 page.append("Some more plain text.")94 file_contents = render_result(page, ind="")95 print(file_contents) # so we can see it if the test fails96 assert "some plain text" in file_contents97 assert "A simple paragraph of text" in file_contents98 assert "Some more plain text." in file_contents99 assert "some plain text" in file_contents100 assert "<head>" in file_contents101 assert "</head>" in file_contents102 assert "A header!" in file_contents103 assert "Another header!" in file_contents104def test_one_line_tag_append():105 e = OneLineTag()106 with pytest.raises(NotImplementedError):107 e.append("some more content")108 file_contents = render_result(e, ind="").strip()109 print(file_contents)110def test_title():111 e = Title("This is a Title")112 file_contents = render_result(e).strip()113 assert "This is a Title" in file_contents114 print(file_contents)115 assert file_contents.startswith("<title>")116 assert file_contents.endswith("</title>")117# ----------------- STEP 4 ----------------- #118def test_attributes():119 e = P("A paragraph of text", style="text-align: center", id="intro")120 file_contents = render_result(e, ind="").strip()121 print(file_contents)122 assert file_contents.endswith("</p>")123 assert file_contents.startswith("<p")124 assert 'style="text-align: center"' in file_contents125 assert 'id="intro"' in file_contents126# ----------------- STEP 5 ----------------- #127def test_hr():128 hr = Hr()129 file_contents = render_result(hr, ind="")130 print(file_contents)131 assert file_contents == '<hr />\n'132def test_hr_attr():133 hr = Hr(width=400)134 file_contents = render_result(hr, ind="")135 print(file_contents)136 assert file_contents == '<hr width="400" />\n'137def test_br():138 br = Br()139 file_contents = render_result(br, ind="")140 print(file_contents)141 assert file_contents == "<br />\n"142def test_content_in_br():143 with pytest.raises(TypeError):144 br = Br("some content")145def test_append_content_in_br():146 with pytest.raises(TypeError):147 br = Br()148 br.append("some content")149# ----------------- STEP 6 ----------------- #150def test_anchor():151 a = A("http://google.com", "link to google")152 file_contents = render_result(a, ind="").strip()153 print(file_contents)154 assert file_contents.startswith('<a ')155# ----------------- STEP 7 ----------------- #156def test_ul():157 u_list = Ul(id="TheList", style="line-height:200%")158 file_contents = render_result(u_list, ind="").strip()159 print(file_contents)160 assert file_contents.startswith('<ul ')161 assert file_contents.endswith("</ul>")162 assert 'id="TheList"' in file_contents163 assert 'style="line-height:200%"' in file_contents164def test_li():165 a_list = Li("This is the second item", style="color: red")166 file_contents = render_result(a_list, ind="").strip()167 print(file_contents)168 assert file_contents.startswith('<li ')169 assert file_contents.endswith("</li>")170 assert 'style="color: red"' in file_contents171# ----------------- STEP 8 ----------------- #172def test_meta():173 m = Meta()174 file_contents = render_result(m, ind="").strip()175 print(file_contents)176 assert file_contents == '<meta />'177def test_meta_attr():178 m = Meta(charset="UTF-8")179 file_contents = render_result(m, ind="").strip()180 print(file_contents)181 assert file_contents == '<meta charset="UTF-8" />'182# ----------------- STEP 9 ----------------- #183def test_indent():184 html = Html("some content")185 file_contents = render_result(html, ind=" ").rstrip() #remove the end newline186 print(file_contents)187 lines = file_contents.split("\n")188 assert lines[-1].startswith(" <")189 print(repr(lines[-1]))190 assert lines[-1].startswith(" <")191def test_indent_contents():192 html = Element("some content")193 file_contents = render_result(html, ind="")194 print(file_contents)195 lines = file_contents.split("\n")196 assert lines[1].startswith(html.indent)197def test_multiple_indent():198 body = Body()199 body.append(P("some text"))200 html = Html(body)201 file_contents = render_result(html)202 print(file_contents)203 lines = file_contents.split("\n")204 for i in range(3): # this needed to be adapted to the <DOCTYPE> tag205 assert lines[i + 1].startswith(i * html.indent + "<")206 assert lines[4].startswith(3 * html.indent + "some")207def test_element_indent1():208 e = Html("this is some text")209 file_contents = render_result(e).strip()210 print(file_contents)211 assert "this is some text" in file_contents212 lines = file_contents.split('\n')213 assert lines[1] == "<html>"214 assert lines[2].startswith(e._indent + "thi")215 assert lines[3] == "</html>"...
render.py
Source:render.py
1import numpy as np2import cv23import core4from libcpp_render import cpp_render5import os6import util7class camera():8 def __init__(self, focal_length, center_x, center_y, trans):9 self.focal = focal_length.astype(np.float32)10 self.cx = center_x.astype(np.float32)11 self.cy = center_y.astype(np.float32)12 self.trans = trans.astype(np.float32)13 self.renderer = core.SMPLRenderer(face_path="opendr_render/smpl_faces.npy")14 def render_naked(self, verts, img=None):15 ## camera_for_render [focal center_x center_y camera_t_x camera_t_y camera_t_z]16 camera_for_render = np.hstack([self.focal, self.cx, self.cy, self.trans])17 render_result = self.renderer(verts, cam=camera_for_render, img=img, do_alpha=True)18 return render_result19 def render_naked_rotation(self, verts, angle, img=None):20 ## camera_for_render [focal center_x center_y camera_t_x camera_t_y camera_t_z]21 camera_for_render = np.hstack([self.focal, self.cx, self.cy, self.trans])22 render_result = self.renderer.rotated(verts, angle, cam=camera_for_render, img_size=img.shape[:2])23 return render_result24 def generate_uv(self, verts, image=None):25 rt = np.zeros(3)26 t = self.trans27 camera_matrix = np.array([[self.focal, 0.0, self.cx],28 [0.0, self.focal, self.cy],29 [0.0, 0.0, 1.0]])30 k = np.zeros(5)31 uv_real = cv2.projectPoints(verts, rt, t, camera_matrix, k)[0].squeeze()32 width = 600.0 if image is None else float(image.shape[1])33 height = 450.0 if image is None else float(image.shape[0])34 uv_u = (uv_real[:, 0] / width).reshape((len(uv_real), 1))35 uv_v = (uv_real[:, 1] / height).reshape((len(uv_real), 1))36 uv_norm = np.hstack((uv_u, uv_v))37 return uv_real, uv_norm38 def write_camera(self, path):39 f = open(path, "w")40 f.write(str(self.focal) + " " + str(self.trans[0]) + " " + str(self.trans[1]) + " " + str(self.trans[2])41 + " " + str(self.cx) + " " + str(self.cy))42 f.close()43 def write_obj(self, path, verts, uv=None):44 with open(path, 'w') as fp:45 fp.write("mtllib test.mtl\n")46 fp.write("\n")47 for v in verts:48 fp.write('v %f %f %f\n' % (v[0], v[1], v[2]))49 fp.write("\n")50 if uv is not None:51 for uv in uv:52 fp.write('vt %f %f %f\n' % (uv[0], uv[1], 0.))53 fp.write("\n")54 fp.write("o m_avg\n")55 fp.write("g m_avg\n")56 fp.write("usemtl lambert1\n")57 fp.write("s 1\n")58 for face in self.renderer.faces + 1:59 fp.write('f %d/%d %d/%d %d/%d\n' % (face[0], face[0], face[1], face[1], face[2], face[2]))60 '''61 img is texture image, arbitrary size62 '''63 def render_texture(self, verts, img, vt):64 self.write_camera("./render_temp/camera.txt")65 self.write_obj("./render_temp/model.obj", verts, vt)66 cv2.imwrite("./render_temp/HR.png", img)67 cpp_render(util.img_widthheight)68 render_result = cv2.imread("./render_temp/result.png")69 return render_result70 def render_texture_imgbg(self, render_result, bg, method=None):71 bg_img = np.copy(bg)72 for i in range(render_result.shape[0]):73 for j in range(render_result.shape[1]):74 if render_result[i, j, 0] == 0 and render_result[i, j, 1] == 0 and render_result[i, j, 2] == 0:75 continue76 bg_img[i, j, :] = render_result[i, j, :]77 if method == "poisson":78 ###extract mask###79 mask = np.ones_like(render_result) * 25580 for i in range(render_result.shape[0]):81 for j in range(render_result.shape[1]):82 if render_result[i, j, 0] == 0 and render_result[i, j, 1] == 0 and render_result[i, j, 2] == 0:83 continue84 mask[i, j, :] = 25585 center = (render_result.shape[1] / 2, render_result.shape[0] / 2)86 bg_img = cv2.seamlessClone(render_result, bg, mask, center, cv2.NORMAL_CLONE)87 return bg_img88 '''89 save cropped texture90 '''91 def save_texture_img(self, img, mask=None):92 if mask is not None:93 img = cv2.add(img, np.zeros(np.shape(img), dtype=np.uint8),94 mask=mask)95 return img96 '''97 img is texture image, arbitrary size98 '''99 def write_texture_data(self, texture_path, vt):100 if not os.path.exists(texture_path):101 os.makedirs(texture_path)102 np.save(texture_path + "vt.npy", vt)103def read_texture_data(texture_path):104 vt = np.load(texture_path + "vt.npy")105 img = cv2.imread(texture_path + "../../output_nonrigid/texture.png")106 return vt, img107def opencv2render(img):108 b, g, r = cv2.split(img)109 img_ = cv2.merge([r, g, b])110 return img_111def save_nonrigid_template(texture_path, template):...
test_nerf_render.py
Source:test_nerf_render.py
1from typing import Dict, Final2import torch3from torch import Tensor4from neddf.render import NeRFRender5class TestNeRFRender:6 def test_nerf_render_constructor(self, nerf_config_fixture):7 # test construct of nerf_render8 NeRFRender(9 network_config=nerf_config_fixture,10 )11 def test_integrate_volume_render(self, nerf_config_fixture):12 # test data13 batch_size: Final[int] = 3214 sampling_count: Final[int] = 6415 distances: Tensor = (16 torch.linspace(0.0, 2.0, sampling_count, dtype=torch.float32)17 .unsqueeze(0)18 .expand(batch_size, sampling_count)19 )20 densities: Tensor = torch.ones(batch_size, sampling_count)21 colors: Tensor = torch.ones(batch_size, sampling_count, 3)22 # make nerf render instance23 # TODO: add other networks list and test them24 neural_render: NeRFRender = NeRFRender(25 network_config=nerf_config_fixture,26 )27 render_result: Dict[str, Tensor] = neural_render.integrate_volume_render(28 distances,29 densities,30 colors,31 )32 # check that the result dict have collect keys33 assert "depth" in render_result34 assert "color" in render_result35 assert "transmittance" in render_result36 assert render_result["depth"].shape == (batch_size,)37 assert render_result["color"].shape == (batch_size, 3)38 assert render_result["transmittance"].shape == (batch_size,)39 def test_render_rays(self, camera_fixture, nerf_config_fixture):40 # test data: 2D positions in uv41 batch_size: Final[int] = 3242 us: Tensor = torch.linspace(0, 480, batch_size, dtype=torch.float32)43 vs: Tensor = torch.linspace(0, 640, batch_size, dtype=torch.float32)44 uv: Tensor = torch.stack([us, vs], 1)45 # make nerf render instance46 # TODO: add other networks list and test them47 neural_render: NeRFRender = NeRFRender(48 network_config=nerf_config_fixture,49 )50 render_result: Dict[str, Tensor] = neural_render.render_rays(uv, camera_fixture)51 # check that the result dict have collect keys52 assert "depth" in render_result53 assert "color" in render_result54 assert "transmittance" in render_result55 assert render_result["depth"].shape == (batch_size,)56 assert render_result["color"].shape == (batch_size, 3)...
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