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1# based on https://github.com/DIYer22/bpycv/blob/c576e01622d87eb3534f73bf1a5686bd2463de97/example/ycb_demo.py 2import bpy 3import bpycv 4 5import os 6import glob 7import random 8 9example_data_dir = os.environ['BPY_EXAMPLE_DATA'] 10 11models = sorted(glob.glob(os.path.join(example_data_dir, "model", "*", "*.obj"))) 12cat_id_to_model_path = dict(enumerate(sorted(models), 1)) 13 14distractors = sorted(glob.glob(os.path.join(example_data_dir, "distractor", "*.obj"))) 15 16bpycv.clear_all() 17bpy.context.scene.frame_set(1) 18bpy.context.scene.render.engine = "CYCLES" 19bpy.context.scene.cycles.samples = 32 20bpy.context.scene.render.resolution_y = 1024 21bpy.context.scene.render.resolution_x = 1024 22 23# A transparency stage for holding rigid body 24stage = bpycv.add_stage(transparency=True) 25 26bpycv.set_cam_pose(cam_radius=1, cam_deg=45) 27 28hdri_dir = os.path.join(example_data_dir, "background_and_light") 29hdri_manager = bpycv.HdriManager( 30 hdri_dir=hdri_dir, download=False 31) # if download is True, will auto download .hdr file from HDRI Haven 32hdri_path = hdri_manager.sample() 33bpycv.load_hdri_world(hdri_path, random_rotate_z=True) 34 35# load 5 objects 36for index in range(5): 37 cat_id = random.choice(list(cat_id_to_model_path)) 38 model_path = cat_id_to_model_path[cat_id] 39 obj = bpycv.load_obj(model_path) 40 obj.location = ( 41 random.uniform(-0.2, 0.2), 42 random.uniform(-0.2, 0.2), 43 random.uniform(0.1, 0.3), 44 ) 45 obj.rotation_euler = [random.uniform(-3.1415, 3.1415) for _ in range(3)] 46 # set each instance a unique inst_id, which is used to generate instance annotation. 47 obj["inst_id"] = cat_id * 1000 + index 48 with bpycv.activate_obj(obj): 49 bpy.ops.rigidbody.object_add() 50 51# load 6 distractors 52for index in range(6): 53 distractor_path = random.choice(distractors) 54 target_size = random.uniform(0.1, 0.3) 55 distractor = bpycv.load_distractor(distractor_path, target_size=target_size) 56 distractor.location = ( 57 random.uniform(-0.2, 0.2), 58 random.uniform(-0.2, 0.2), 59 random.uniform(0.1, 0.3), 60 ) 61 distractor.rotation_euler = [random.uniform(-3.1415, 3.1415) for _ in range(3)] 62 with bpycv.activate_obj(distractor): 63 bpy.ops.rigidbody.object_add() 64 65# run pyhsic engine for 20 frames 66for i in range(20): 67 bpy.context.scene.frame_set(bpy.context.scene.frame_current + 1) 68 69# render image, instance annoatation and depth in one line code 70result = bpycv.render_data() 71 72dataset_dir = "./dataset" 73result.save(dataset_dir=dataset_dir, fname="0", save_blend=True) 74print(f'Save to "{dataset_dir}"') 75print(f'Open "{dataset_dir}/vis/" to see visualize result.') 76