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How to use render_results method in Lemoncheesecake
Best Python code snippet using lemoncheesecake
render_utils.py
Source:render_utils.py 
1import os2import cv23import gibson24import numpy as np5import py360convert6from configs.data_config import IG59CLASSES7from utils.transform_utils import points2bdb2d, contour2bfov8hdr_texture = os.path.join(9 gibson2.ig_dataset_path, 'scenes', 'background', 'probe_02.hdr')10hdr_texture2 = os.path.join(11 gibson2.ig_dataset_path, 'scenes', 'background', 'probe_03.hdr')12background_texture = os.path.join(13 gibson2.ig_dataset_path, 'scenes', 'background',14 'urban_street_01.jpg')15def seg2obj(seg, i_obj, camera=None):16 """17 Extract contour and bounding box/fov from instance segmentation image.18 Parameters19 ----------20 seg: H x W numpy array of instance segmentation image21 i_obj: instance ID22 Returns23 -------24 dict of object contour and 2D bounding box: dict{25 'bfov': {'lon': float, 'lat': float, 'x_fov': float, 'y_fov': float} in rad26 'bdb2d': {'x1': int, 'x2': int, 'y1': int, 'y2': int} in pixel27 'contour': {'x': 1-d numpy array, 'y': 1-d numpy array, 'area': float} in pixel28 }29 definition of output pixel coordinate:30 x: (left) 0 --> width - 1 (right)31 y: (up) 0 --> height - 1 (down)32 definition of longitude and latitude in radiation:33 longitude: (left) -pi -- 0 --> +pi (right)34 latitude: (up) -pi/2 -- 0 --> +pi/2 (down)35 """36 height, width = seg.shape[:2]37 pano = camera is None or 'K' not in camera38 if pano:39 # if is panorama, repeat image along x axis to connect segmentation mask divided by edge40 seg = np.tile(seg, 2)41 # find and sort contours42 obj_mask = seg == i_obj43 contours, hierarchy = cv2.findContours(44 obj_mask.astype(np.uint8), cv2.RETR_TREE, cv2.CHAIN_APPROX_NONE)45 area = [cv2.contourArea(contour) for contour in contours]46 contours = [x for _, x in sorted(zip(area, contours), key=lambda pair: pair[0], reverse=True)]47 area = sorted(area, reverse=True)48 if pano:49 # if is panorama, consider objects on edge50 if len(area) > 1 and abs(area[0] - area[1]) < 1:51 # if object is not on the edge, choose the left contour52 contour_a, contour_b = contours[0][:, 0, :], contours[1][:, 0, :]53 contour = contour_a if np.min(contour_a[:, 0]) < np.min(contour_b[:, 0]) else contour_b54 elif len(area) == 0:55 return56 else:57 # if object is on the edge, choose the largest contour58 contour = contours[0][:, 0, :]59 else:60 # if is perspective camera, choose the largest contour61 contour = contours[0][:, 0, :]62 # from contour to bdb2d/bfov63 bdb2d = points2bdb2d(contour)64 bdb2d = {k: int(v) for k, v in bdb2d.items()}65 contour = {66 'x': contour[..., 0].astype(np.int32),67 'y': contour[..., 1].astype(np.int32),68 'area': float(area[0])69 }70 bfov = contour2bfov(contour, height, width, camera)71 return {72 'bfov': bfov,73 'bdb2d': bdb2d,74 'contour': contour75 }76def render_camera(renderer, camera, render_types: (list, str), perspective=None, obj_groups=None, objects_by_id=None):77 if isinstance(render_types, str):78 render_types = [render_types]79 # map render types80 render_type_mapping = {'sem': 'seg', 'depth': '3d'}81 igibson_types = set()82 for save_type in render_types:83 igibson_types.add(render_type_mapping.get(save_type, save_type))84 # render85 if perspective is None:86 perspective = 'K' in camera87 if perspective:88 renderer.set_fov(camera['vertical_fov'])89 renderer.set_camera(camera["pos"], camera["target"], camera["up"])90 render_results = renderer.render(modes=igibson_types)91 render_results = {t: r for t, r in zip(igibson_types, render_results)}92 for t, r in render_results.items():93 interpolation = cv2.INTER_LINEAR if t == 'rgb' else cv2.INTER_NEAREST94 render_results[t] = cv2.resize(r, (camera['width'], camera['height']), interpolation=interpolation)95 else:96 renderer.set_fov(90)97 render_results = render_pano(renderer, camera, igibson_types)98 render_results = {t: render_results[render_type_mapping.get(t, t)] for t in render_types}99 # convert igibson format100 for render_type, im in render_results.items():101 im = im[:, :, :3].copy()102 if render_type == 'seg':103 im = im[:, :, 0]104 im = (im * 255).astype(np.uint8)105 ids = np.unique(im)106 if obj_groups:107 # merge sub objects and super object (for example pillows)108 # into the main sub object (for example bed)109 for main_object, sub_objs in obj_groups.items():110 for i_subobj in sub_objs:111 if i_subobj in ids:112 im[im == i_subobj] = main_object113 elif render_type == 'sem':114 seg = im[:, :, 0]115 seg = (seg * 255).astype(np.uint8)116 instances = np.unique(seg)117 im = seg.copy()118 for instance in instances:119 category = objects_by_id[instance].category120 class_id = IG59CLASSES.index(category)121 im[seg == instance] = class_id122 elif render_type == 'depth':123 if 'K' in camera:124 im = - im[:, :, 2]125 else:126 im = np.linalg.norm(im, axis=-1)127 else:128 im = (im * 255).astype(np.uint8)129 render_results[render_type] = im130 return render_results131def render_pano(renderer, camera, igibson_types):132 forward_v = camera["target"] - camera["pos"]133 left_v = np.array([-forward_v[1], forward_v[0], 0])134 up_v = np.array(camera["up"])135 rot_mat = np.stack([forward_v, left_v, up_v]).T136 cubemaps = {render_type: {} for render_type in igibson_types}137 for direction, up, name in [138 [[-1, 0, 0], [0, 0, 1], 'B'],139 [[0, 0, -1], [1, 0, 0], 'D'],140 [[0, 1, 0], [0, 0, 1], 'L'],141 [[0, -1, 0], [0, 0, 1], 'R'],142 [[0, 0, 1], [-1, 0, 0], 'U'],143 [[1, 0, 0], [0, 0, 1], 'F'],144 ]:145 direction = np.matmul(rot_mat, np.array(direction))146 up = np.matmul(rot_mat, np.array(up))147 renderer.set_camera(camera["pos"], camera["pos"] + direction, up)148 frame = renderer.render(modes=igibson_types)149 for i_render, render_type in enumerate(igibson_types):150 cubemaps[render_type][name] = frame[i_render]151 render_results = {}152 for render_type in igibson_types:153 cubemaps[render_type]['R'] = np.flip(cubemaps[render_type]['R'], 1)154 cubemaps[render_type]['B'] = np.flip(cubemaps[render_type]['B'], 1)155 cubemaps[render_type]['U'] = np.flip(cubemaps[render_type]['U'], 0)156 pano = py360convert.c2e(157 cubemaps[render_type],158 camera['height'], camera['width'],159 mode='bilinear' if render_type == 'rgb' else 'nearest',160 cube_format='dict')161 pano = pano.astype(np.float32)162 render_results[render_type] = pano163 return render_results164def is_obj_valid(obj_dict, min_contour_area=20, min_contour_len=30, min_bdb2d_width=10):165 # check contour length and area166 contour = obj_dict['contour']167 if contour['area'] < min_contour_area:168 return False169 if len(contour['x']) < min_contour_len:170 return False171 # check bdb2d width172 bdb2d = obj_dict['bdb2d']173 if bdb2d['x2'] - bdb2d['x1'] < min_bdb2d_width or bdb2d['y2'] - bdb2d['y1'] < min_bdb2d_width:174 return False...
render_xm_unshadow_one.py
Source:render_xm_unshadow_one.py
1import sys2import json3import os4import math5# Blender6import bpy7sys.path.append(os.path.abspath((os.path.dirname(__file__))))8import xiuminglib as xm9def main():10 # Open scene11 xm.blender.scene.open_blend('./test.blend')12 # model path13 xm.blender.render.set_cycles(w=512,h=512)14 # Remove existing cameras and lights, if any15 for o in bpy.data.objects:16 o.select = o.type in ('LAMP', 'CAMERA')17 for obj in bpy.context.scene.objects:18 obj.select=True19 bpy.ops.object.delete()20 bpy.context.scene.update()21 # loading obj22 bpy.ops.import_scene.obj(filepath='./127711540134843-h/127711540134843_scaled.obj',23 axis_forward='-Z', axis_up='Y', filter_glob="*.obj;*.mtl") #-Z, Y()24 # rotate obj25 # xm.blender.object.rotate_object(rotate_angle=math.pi/6,rotate_axis=(True,False,False))26 # xm.blender.object.rotate_object(rotate_angle=math.pi/2,rotate_axis=(False,True,False))27 # xm.blender.object.scale_object(scale=(1.1,1.1,1.1),scale_axis=(True,True,True))28 # loading cam and light29 with open('metas/Oppo/cams/P01.json', 'r') as h:30 cam = json.load(h)31 with open('metas/Olat/trainvali_lights/L001.json', 'r') as h:32 light = json.load(h)33 cam_obj = xm.blender.camera.add_camera(34 xyz=cam['position'], rot_vec_rad=cam['rotation'],35 name=cam['name'], f=cam['focal_length'],36 sensor_width=cam['sensor_width'], sensor_height=cam['sensor_height'],37 clip_start=cam['clip_start'], clip_end=cam['clip_end'])38 # xm.blender.light.add_light_env(env='/media/jcn/æ°å å·/JCN/CLOTHES/Blender_rendering/HDRmaps/round_platform_4k.hdr')39 xm.blender.light.add_light_point(40 xyz=light['position'], name=light['name'], size=light['size'])41 xm.blender.render.easyset(n_samples=64, color_mode='RGB')42 bpy.context.scene.use_nodes = True43 xm.blender.render.render_unshadow('/media/jcn/æ°å å·/JCN/CLOTHES/Blender_rendering/render_results')44 #45 # rgb_camspc_f = os.path.join('render_results/rgb.png')46 # xm.blender.render.render(rgb_camspc_f)47 # normal_f = os.path.join('render_results/normal')48 # xm.blender.render.render_normal(normal_f)49 #50 # alpha_f = os.path.join('render_results/alpha.png')51 # xm.blender.render.render_alpha(alpha_f,samples=64)52 # # depth_f=os.path.join('render_results/depth')53 # # xm.blender.render.render_depth(depth_f)54 # AO_f = os.path.join('render_results/AO.png')55 # xm.blender.render.render_ambient(AO_f)56 # albedo_f = os.path.join('render_results/albedo.png')57 # xm.blender.render.render_albedo(albedo_f)58 # xm.blender.object.rotate_object(rotate_angle=-math.pi / 2, rotate_axis=(False, True, False))59 # xm.blender.object.rotate_object(rotate_angle=-math.pi / 6, rotate_axis=(True, False, False))60 # xm.blender.object.scale_object(scale=(1.1, 1.1, 1.1), scale_axis=(True, True, True))61 # rgb_camspc_f = os.path.join('/media/jcn/æ°å å·/JCN/CLOTHES/Blender_rendering/render_results')62 # xm.blender.render.render(rgb_camspc_f)63 # normal_f = os.path.join('render_results/normal_1')64 # xm.blender.render.render_normal(normal_f)65 # alpha_f = os.path.join('render_results/alpha_1.png')66 # xm.blender.render.render_alpha(alpha_f, samples=64)67 # depth_f = os.path.join('render_results/depth_1')68 # xm.blender.render.render_depth(depth_f)69 # AO_f = os.path.join('render_results/AO_1.png')70 # xm.blender.render.render_ambient(AO_f)71 # albedo_f = os.path.join('render_results/albedo_1.png')72 # xm.blender.render.render_albedo(albedo_f)73 # xm.blender.scene.save_blend('./blend_1.blend')74if __name__ == '__main__':...
render_xm_one.py
Source:render_xm_one.py
1import sys2import json3import os4import math5# Blender6import bpy7sys.path.append(os.path.abspath((os.path.dirname(__file__))))8import xiuminglib as xm9def main():10 # Open scene11 xm.blender.scene.open_blend('./test.blend')12 # model path13 xm.blender.render.set_cycles(w=512,h=512)14 # Remove existing cameras and lights, if any15 for o in bpy.data.objects:16 o.select = o.type in ('LAMP', 'CAMERA')17 for obj in bpy.context.scene.objects:18 obj.select=True19 bpy.ops.object.delete()20 bpy.context.scene.update()21 # loading obj22 bpy.ops.import_scene.obj(filepath='./127711540134843-h/127711540134843_scaled.obj',23 axis_forward='-Z', axis_up='Y', filter_glob="*.obj;*.mtl") #-Z, Y()24 # rotate obj25 # xm.blender.object.rotate_object(rotate_angle=math.pi/6,rotate_axis=(True,False,False))26 # xm.blender.object.rotate_object(rotate_angle=math.pi/2,rotate_axis=(False,True,False))27 # xm.blender.object.scale_object(scale=(1.1,1.1,1.1),scale_axis=(True,True,True))28 # loading cam and light29 with open('metas/Oppo/cams/P01.json', 'r') as h:30 cam = json.load(h)31 cam_obj = xm.blender.camera.add_camera(32 xyz=cam['position'], rot_vec_rad=cam['rotation'],33 name=cam['name'], f=cam['focal_length'],34 sensor_width=cam['sensor_width'], sensor_height=cam['sensor_height'],35 clip_start=cam['clip_start'], clip_end=cam['clip_end'])36 xm.blender.light.add_light_env(env='/media/jcn/æ°å å·/JCN/CLOTHES/Blender_rendering/HDRmaps/round_platform_4k.hdr')37 xm.blender.render.easyset(n_samples=64, color_mode='RGB')38 bpy.context.scene.use_nodes = True39 xm.blender.render.render_all_color('/media/jcn/æ°å å·/JCN/CLOTHES/Blender_rendering/render_results')40 #41 # rgb_camspc_f = os.path.join('render_results/rgb.png')42 # xm.blender.render.render(rgb_camspc_f)43 # normal_f = os.path.join('render_results/normal')44 # xm.blender.render.render_normal(normal_f)45 #46 # alpha_f = os.path.join('render_results/alpha.png')47 # xm.blender.render.render_alpha(alpha_f,samples=64)48 # # depth_f=os.path.join('render_results/depth')49 # # xm.blender.render.render_depth(depth_f)50 # AO_f = os.path.join('render_results/AO.png')51 # xm.blender.render.render_ambient(AO_f)52 # albedo_f = os.path.join('render_results/albedo.png')53 # xm.blender.render.render_albedo(albedo_f)54 # xm.blender.object.rotate_object(rotate_angle=-math.pi / 2, rotate_axis=(False, True, False))55 # xm.blender.object.rotate_object(rotate_angle=-math.pi / 6, rotate_axis=(True, False, False))56 # xm.blender.object.scale_object(scale=(1.1, 1.1, 1.1), scale_axis=(True, True, True))57 # rgb_camspc_f = os.path.join('/media/jcn/æ°å å·/JCN/CLOTHES/Blender_rendering/render_results')58 # xm.blender.render.render(rgb_camspc_f)59 # normal_f = os.path.join('render_results/normal_1')60 # xm.blender.render.render_normal(normal_f)61 # alpha_f = os.path.join('render_results/alpha_1.png')62 # xm.blender.render.render_alpha(alpha_f, samples=64)63 # depth_f = os.path.join('render_results/depth_1')64 # xm.blender.render.render_depth(depth_f)65 # AO_f = os.path.join('render_results/AO_1.png')66 # xm.blender.render.render_ambient(AO_f)67 # albedo_f = os.path.join('render_results/albedo_1.png')68 # xm.blender.render.render_albedo(albedo_f)69 xm.blender.scene.save_blend('./blend_1.blend')70if __name__ == '__main__':...
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