253 lines
12 KiB
Python
253 lines
12 KiB
Python
import os, sys, time, bpy, math, requests, bmesh, json, shutil
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from PIL import Image
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import platform
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if platform.system() == 'Windows':
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sys.path.append('e:\\libs\\')
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#sys.path.append('libs')
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else:
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sys.path.append('/data/deploy/make3d/make2/libs/')
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import config, libs, libs_db,main_service_db,common,foot_mark_seam,libs_db_gpu
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def bmesh_copy_from_object(obj, transform=True, triangulate=True, apply_modifiers=False):
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"""Returns a transformed, triangulated copy of the mesh"""
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assert obj.type == 'MESH'
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if apply_modifiers and obj.modifiers:
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import bpy
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depsgraph = bpy.context.evaluated_depsgraph_get()
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obj_eval = obj.evaluated_get(depsgraph)
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me = obj_eval.to_mesh()
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bm = bmesh.new()
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bm.from_mesh(me)
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obj_eval.to_mesh_clear()
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else:
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me = obj.data
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if obj.mode == 'EDIT':
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bm_orig = bmesh.from_edit_mesh(me)
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bm = bm_orig.copy()
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else:
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bm = bmesh.new()
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bm.from_mesh(me)
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if transform:
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matrix = obj.matrix_world.copy()
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if not matrix.is_identity:
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bm.transform(matrix)
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matrix.translation.zero()
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if not matrix.is_identity:
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bm.normal_update()
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if triangulate:
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bmesh.ops.triangulate(bm, faces=bm.faces)
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return bm
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def find_pid_objname(pid):
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for obj in bpy.data.objects:
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if obj.name.startswith(str(pid)):
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return obj.name
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def reload_obj(pid):
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obj_filename = os.path.join(config.workdir, pid, 'output', f'{pid}.obj')
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bpy.ops.wm.read_homefile()
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bpy.ops.object.delete(use_global=False, confirm=False)
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bpy.ops.import_scene.obj(filepath=obj_filename)
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bpy.context.scene.unit_settings.scale_length = 1
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bpy.context.scene.unit_settings.length_unit = 'CENTIMETERS'
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bpy.context.scene.unit_settings.mass_unit = 'GRAMS'
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obj = bpy.context.selected_objects[0]
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bpy.context.view_layer.objects.active = obj
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obj.select_set(True)
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def base_fix(pid):
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print(f'{time.strftime("%Y-%m-%d %H:%M:%S", time.localtime())} pid: {pid} 开始模型基础校正...')
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start_time = time.time()
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# 统一文件名规则
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def fix_filename(pid):
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texture_filename_end = ""
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if os.path.exists(os.path.join(config.workdir, pid, 'output', f'{pid}.jpg')):
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print(f'{time.strftime("%Y-%m-%d %H:%M:%S", time.localtime())} pid: {pid} 已经是最新文件名规则，无需处理')
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return
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elif os.path.exists(os.path.join(config.workdir, pid, 'output', f'{pid}_u0_v0_diffuse.jpg')):
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texture_filename_end = '_u0_v0_diffuse.jpg'
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elif os.path.exists(os.path.join(config.workdir, pid, 'output', f'{pid}_u1_v1.jpg')):
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texture_filename_end = '_u1_v1.jpg'
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os.rename(os.path.join(config.workdir, pid, 'output', f'{pid}{texture_filename_end}'), os.path.join(config.workdir, pid, 'output', f'{pid}.jpg'))
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with open(os.path.join(config.workdir, pid, 'output', f'{pid}.mtl'), 'r') as f:
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lines = f.readlines()
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lines = [line.replace(texture_filename_end, '.jpg') for line in lines]
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with open(os.path.join(config.workdir, pid, 'output', f'{pid}.mtl'), 'w') as f:
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f.writelines(lines)
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f.close()
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fix_filename(pid)
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# 统一blender环境
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reload_obj(pid)
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# 统一模型方向、位置、大小...
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pid_objname = find_pid_objname(pid)
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bpy.data.objects[pid_objname].rotation_euler = (0, 0, 0)
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bpy.ops.object.origin_set(type='ORIGIN_CENTER_OF_VOLUME', center='MEDIAN')
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bpy.context.object.location[0] = 0
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bpy.context.object.location[1] = 0
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bpy.ops.object.transform_apply(location=True, rotation=True, scale=True)
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#处理脚底UV
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# basepath = os.path.join(config.workdir, pid, 'output')
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# foot_mark_seam.get_obj_max_foot(basepath,os.path.join(basepath, f'{pid}.obj'),os.path.join(basepath, f'{pid}.jpg'))
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print(f'{time.strftime("%Y-%m-%d %H:%M:%S", time.localtime())} pid: {pid} 模型基础校正完成，共费时{libs.diff_time(start_time)}')
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def export_and_update_obj(pid):
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print(f'{time.strftime("%Y-%m-%d %H:%M:%S", time.localtime())} pid: {pid} 开始导出并上传模型...')
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start_time = time.time()
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obj_filename = os.path.join(config.workdir, pid, 'output', f'{pid}.obj')
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bpy.ops.export_scene.obj(filepath=obj_filename)
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# 上传到oss
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config.oss_bucket.put_object_from_file(f'objs/auto/{pid}/{pid}.obj', os.path.join(config.workdir, pid, 'output', f'{pid}.obj'))
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config.oss_bucket.put_object_from_file(f'objs/auto/{pid}/{pid}.mtl', os.path.join(config.workdir, pid, 'output', f'{pid}.mtl'))
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config.oss_bucket.put_object_from_file(f'objs/auto/{pid}/{pid}.jpg', os.path.join(config.workdir, pid, 'output', f'{pid}.jpg'))
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config.oss_bucket.put_object_from_file(f'objs/auto/{pid}/{pid}.obj.rcInfo', os.path.join(config.workdir, pid, 'output', f'{pid}.obj.rcInfo'))
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print(f'{time.strftime("%Y-%m-%d %H:%M:%S", time.localtime())} pid: {pid} 模型导出并上传完成，共费时{libs.diff_time(start_time)}')
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def resize_texture_and_reload_obj(pid, ratio=0.5):
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print(f'{time.strftime("%Y-%m-%d %H:%M:%S", time.localtime())} pid: {pid} 开始压缩贴图并重载模型...')
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start_time = time.time()
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bpy.ops.wm.quit_blender()
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image_name = os.path.join(config.workdir, pid, 'output', f'{pid}.jpg')
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img = Image.open(image_name)
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w, h = img.size
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img = img.resize((int(w * ratio), int(h * ratio)))
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img.save(image_name, optimize=True, quality=95)
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reload_obj(pid)
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print(f'{time.strftime("%Y-%m-%d %H:%M:%S", time.localtime())} pid: {pid} 贴图压缩并重载模型完成，共费时{libs.diff_time(start_time)}')
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def export_and_update_glbs(pid):
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print(f'{time.strftime("%Y-%m-%d %H:%M:%S", time.localtime())} pid: {pid} 开始导出并上传审核模型和3D相册模型glb文件...')
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start_time = time.time()
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headcount = libs.getHeadCount(pid)
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pid_objname = find_pid_objname(pid)
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obj = bpy.data.objects[pid_objname]
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obj.select_set(True)
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model_info = {}
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model_info['headcount'] = headcount
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model_info['faces'] = round(len(obj.data.polygons) / 10000)
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model_info['height'] = round(obj.dimensions.y * 100)
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# bpy.ops.wm.save_as_mainfile(filepath=os.path.join(config.workdir, pid, f'{pid}.blend'))
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# 统一缩放到9cm标准尺寸
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scale = 90 / bpy.data.objects[pid_objname].dimensions.y
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bpy.data.objects[pid_objname].scale = (scale, scale, scale)
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bpy.ops.object.transform_apply(scale=True)
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# bpy.ops.wm.save_as_mainfile(filepath=os.path.join(config.workdir, pid, f'{pid}-9cm.blend'))
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bm = bmesh_copy_from_object(obj)
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model_info['volume'] = round(bm.calc_volume(), 2)
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model_info['weight'] = round(model_info['volume'] * 1.226, 2)
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print(f'{pid}的模型数据：{model_info}')
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res = requests.get(f'{config.urls["upload_model_info_url"]}?pid={pid}&headcount={headcount}&faces={model_info["faces"]}&volume={model_info["volume"]}&weight={model_info["weight"]}&height={model_info["height"]}')
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print('上传模型数据：', res.text)
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# with open(os.path.join(config.sharedir, 'model_info', f'{pid}.json'), 'w') as f:
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# json.dump(model_info, f)
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# f.close()
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# 先生成审核模型
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faces_dest = 500000 * headcount
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# 减面
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faces_current = len(bpy.data.objects[pid_objname].data.polygons)
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print(f'当前面数：{faces_current}，目标面数：{faces_dest}')
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bpy.ops.object.modifier_add(type='DECIMATE')
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bpy.context.object.modifiers["Decimate"].ratio = faces_dest / faces_current
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bpy.ops.object.modifier_apply(modifier="Decimate")
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glb_filename = os.path.join(config.workdir, pid, 'output', f'{pid}.glb')
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bpy.ops.export_scene.gltf(filepath=glb_filename, export_format='GLB', export_apply=True, export_jpeg_quality=75, export_draco_mesh_compression_enable=False)
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# 再生成数字模型
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faces_dest = 120000 * headcount
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# 减面
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faces_current = len(bpy.data.objects[pid_objname].data.polygons)
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print(f'当前面数：{faces_current}，目标面数：{faces_dest}')
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bpy.ops.object.modifier_add(type='DECIMATE')
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bpy.context.object.modifiers["Decimate"].ratio = faces_dest / faces_current
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bpy.ops.object.modifier_apply(modifier="Decimate")
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glb_filename = os.path.join(config.workdir, pid, 'output', f'{pid}-3d.glb')
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bpy.ops.export_scene.gltf(filepath=glb_filename, export_format='GLB', export_apply=True, export_jpeg_quality=75, export_draco_mesh_compression_enable=False)
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os.system(f'gltfpack -c -i {os.path.join(config.workdir, pid, "output", f"{pid}.glb")} -o {os.path.join(config.workdir, pid, "output", f"{pid}-pack.glb")}')
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config.oss_bucket.put_object_from_file(f'glbs/auto/{pid}.glb', os.path.join(config.workdir, pid, 'output', f'{pid}-pack.glb'))
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config.oss_bucket.put_object_from_file(f'glbs/3d/{pid}.glb', os.path.join(config.workdir, pid, 'output', f'{pid}-3d.glb'))
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print(f'{time.strftime("%Y-%m-%d %H:%M:%S", time.localtime())} pid: {pid} glb文件导出并上传完成，共费时{libs.diff_time(start_time)}')
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def step3(pid,task_distributed_id=""):
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print(f'{time.strftime("%Y-%m-%d %H:%M:%S", time.localtime())} pid: {pid} 开始模型后道处理')
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start_time = time.time()
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# 方向、大小、位置等基础校正
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base_fix(pid)
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# 去灰
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# 避开人脸白色提纯
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# TODO: 人脸五官特征加深
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# TODO: 自动UV分割，优先级顺序：脚底、人脸、手指、手臂内侧、大腿内侧、前身、后背、其他
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# TODO: 根据UV分割自动修贴图
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# 调用blender生成3D相册glb文件和修模审核glb文件，压缩贴图
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export_and_update_obj(pid)
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resize_texture_and_reload_obj(pid)
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export_and_update_glbs(pid)
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#向gpu服务器数据库添加一条数据用于AI自动修模,目前显示修复脸，不能上传更新建模状态，防止任务进入到修模部，人数为1才进行处理
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headCount = libs.getHeadCount(pid)
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#if headCount == 1:
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libs_db_gpu.add_task(data={"pid":pid,"cut_body":"face","heads":headCount})
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# 更新本地任务状态，更新云端任务状态
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print(f'{time.strftime("%Y-%m-%d %H:%M:%S", time.localtime())} pid: {pid} 模型后道处理完成，共费时{libs.diff_time(start_time)}')
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res = requests.post(config.urls['update_status_modelsuccess_url'], data={'id': pid})
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print('上传完成更新建模成功状态：', res.text)
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#shutil.rmtree(os.path.join(config.workdir, pid), ignore_errors=True)
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libs_db.finish_task({"task_type": "make", "task_key": pid})
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if task_distributed_id:
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#因为step2 和step3 是一起跑的，所以这一步先注释掉更新子表的finished_at
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#main_service_db.update_task_distributed_detail({"task_distributed_id":task_distributed_id,"finished_at":time.strftime("%Y-%m-%d %H:%M:%S", time.localtime())})
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#更新主表的status 和 finished_at
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main_service_db.update_task_distributed({"id":task_distributed_id,"status":2,"finished_at":time.strftime("%Y-%m-%d %H:%M:%S", time.localtime())})
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print("step3 已执行完成")
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#return
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common.removeFolder(str(pid))
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os.system(f"python D:/make2/tools/get_weight_by_pid.py {pid}")
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#执行模型优化，异步调用，再ai_repair 服务区上执行
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os.system(f"python D://make2/tools/optimize_model/main.py {pid}")
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def main(pid):
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if pid == '0':
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while True:
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# 取本地mysql队列任务，完成第三步的建模后处理任务
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step3(pid)
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else:
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step3(pid)
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if __name__ == '__main__':
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# 取本地mysql队列任务，完成第三步的建模后处理任务
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# 默认循环值守，可传参数运行单一任务，以方便调试
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pid = '0'
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if len(sys.argv) > 1:
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pids = sys.argv[1].split(',')
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for pid in pids:
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main(pid)
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exit()
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main(pid) |