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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 8from pathlib import Path 9 10example_data_dir = os.environ['BPY_EXAMPLE_DATA'] 11out_dir = Path(os.environ['out']) 12out_dir.mkdir(parents=True, exist_ok=True) 13 14models = sorted(glob.glob(os.path.join(example_data_dir, "model", "*", "*.obj"))) 15cat_id_to_model_path = dict(enumerate(sorted(models), 1)) 16 17distractors = sorted(glob.glob(os.path.join(example_data_dir, "distractor", "*.obj"))) 18 19bpycv.clear_all() 20bpy.context.scene.frame_set(1) 21bpy.context.scene.render.engine = "CYCLES" 22bpy.context.scene.cycles.samples = 32 23bpy.context.scene.render.resolution_y = 1024 24bpy.context.scene.render.resolution_x = 1024 25bpy.context.view_layer.cycles.denoising_store_passes = False 26 27# A transparency stage for holding rigid body 28stage = bpycv.add_stage(transparency=True) 29 30bpycv.set_cam_pose(cam_radius=1, cam_deg=45) 31 32hdri_dir = os.path.join(example_data_dir, "background_and_light") 33hdri_manager = bpycv.HdriManager( 34 hdri_dir=hdri_dir, download=False 35) # if download is True, will auto download .hdr file from HDRI Haven 36hdri_path = hdri_manager.sample() 37bpycv.load_hdri_world(hdri_path, random_rotate_z=True) 38 39# load 5 objects 40for index in range(5): 41 cat_id = random.choice(list(cat_id_to_model_path)) 42 model_path = cat_id_to_model_path[cat_id] 43 obj = bpycv.load_obj(model_path) 44 obj.location = ( 45 random.uniform(-0.2, 0.2), 46 random.uniform(-0.2, 0.2), 47 random.uniform(0.1, 0.3), 48 ) 49 obj.rotation_euler = [random.uniform(-3.1415, 3.1415) for _ in range(3)] 50 # set each instance a unique inst_id, which is used to generate instance annotation. 51 obj["inst_id"] = cat_id * 1000 + index 52 with bpycv.activate_obj(obj): 53 bpy.ops.rigidbody.object_add() 54 55# load 6 distractors 56for index in range(6): 57 distractor_path = random.choice(distractors) 58 target_size = random.uniform(0.1, 0.3) 59 distractor = bpycv.load_distractor(distractor_path, target_size=target_size) 60 distractor.location = ( 61 random.uniform(-0.2, 0.2), 62 random.uniform(-0.2, 0.2), 63 random.uniform(0.1, 0.3), 64 ) 65 distractor.rotation_euler = [random.uniform(-3.1415, 3.1415) for _ in range(3)] 66 with bpycv.activate_obj(distractor): 67 bpy.ops.rigidbody.object_add() 68 69# run pyhsic engine for 20 frames 70for i in range(20): 71 bpy.context.scene.frame_set(bpy.context.scene.frame_current + 1) 72 73# render image, instance annoatation and depth in one line code 74result = bpycv.render_data() 75 76 77result.save(dataset_dir=str(out_dir.resolve()), fname="0", save_blend=True) 78print(f'Save to "{out_dir}"') 79print(f'Open "{out_dir}/vis/" to see visualize result.') 80