diff --git a/apps/postprocess/render.py b/apps/postprocess/render.py
new file mode 100644
index 0000000..12cc604
--- /dev/null
+++ b/apps/postprocess/render.py
@@ -0,0 +1,69 @@
+'''
+  @ Date: 2022-04-14 14:05:50
+  @ Author: Qing Shuai
+  @ Mail: s_q@zju.edu.cn
+  @ LastEditors: Qing Shuai
+  @ LastEditTime: 2022-05-19 23:09:57
+  @ FilePath: /EasyMocapPublic/apps/postprocess/render.py
+'''
+from os.path import join
+from easymocap.config import Config, load_object
+from easymocap.config.baseconfig import load_config_from_index, load_object_from_cmd
+from easymocap.mytools.debug_utils import mywarn, log, myerror
+from tqdm import tqdm
+from easymocap.mytools import Timer
+
+index = Config.load('config/render_index.yml', [])
+
+def vis(cfg):
+    # 读入模型
+    body_model = load_object_from_cmd(args.model, [])
+    # # 读入参数
+    results = load_object(cfg.result_module, cfg.result_args, body_model=body_model)
+    inputs = load_object(cfg.input_module, cfg.input_args)
+    outputs = load_object(cfg.output_module, cfg.output_args)
+    silent = True
+    for nf in tqdm(range(cfg.ranges[0], min(cfg.ranges[1], len(results)), cfg.ranges[2]), desc='vis'):
+        with Timer('result', silent):
+            basename, result = results[nf]
+        with Timer('inputs', silent):
+            images, cameras = inputs(basename)
+        with Timer('outputs', silent):
+            outputs(images, result, cameras, basename)
+    if cfg.make_video:
+        video = load_object(cfg.video_module, cfg.video_args)
+        video.make_video(cfg.output_args.out)
+
+if __name__ == '__main__':
+    import argparse
+    parser = argparse.ArgumentParser()
+    parser.add_argument('path', type=str)
+    parser.add_argument('--mode', type=str, default='mesh')
+    parser.add_argument('--ranges', type=int, default=[], nargs=3)
+    parser.add_argument('--subs', type=str, default=[], nargs="+")
+    parser.add_argument('--exp', type=str, default=None)
+    parser.add_argument('--model', type=str, default=None)
+    parser.add_argument('--result', type=str, default=None)
+    parser.add_argument('--output', type=str, default=None)
+    parser.add_argument('--debug', action='store_true')
+    args = parser.parse_args()
+
+    config, ori = load_config_from_index(index, args.mode)
+    mode = ori.alias
+    if args.model is None:
+        args.model = join(args.path, args.exp, 'cfg_model.yml')
+        mywarn('[vis] args.model is not specified, use {}'.format(args.model))
+    if args.result is None:
+        args.result = join(args.path, args.exp, 'smpl')
+        mywarn('[vis] args.result is not specified, use {}'.format(args.result))
+    if args.output is None:
+        args.output = join(args.path, args.exp, mode)
+        mywarn('[vis] args.output is not specified, use {}'.format(args.output))
+    if len(args.subs) != 0:
+        config.input_args.subs = args.subs
+    if len(args.ranges) != 0:
+        config.ranges = args.ranges
+    config.input_args.path = args.path
+    config.result_args.path = args.result
+    config.output_args.out = args.output
+    vis(config)
\ No newline at end of file
diff --git a/config/render/input_mv.yml b/config/render/input_mv.yml
new file mode 100644
index 0000000..9717a58
--- /dev/null
+++ b/config/render/input_mv.yml
@@ -0,0 +1,9 @@
+input_module: 'easymocap.visualize.render_base.Images'
+input_args:
+  path: none
+  subs: []
+  image_args:
+    scale: 1.
+    undis: True
+    tgt_shape: [-1, -1]
+    ext: .jpg
\ No newline at end of file
diff --git a/config/render/output_image.yml b/config/render/output_image.yml
new file mode 100644
index 0000000..a6c311f
--- /dev/null
+++ b/config/render/output_image.yml
@@ -0,0 +1,5 @@
+output_module: easymocap.visualize.render_base.MIOutputs
+output_args:
+  out: none
+  mode: image
+  backend: pyrender
\ No newline at end of file
diff --git a/config/render/result_smpl.yml b/config/render/result_smpl.yml
new file mode 100644
index 0000000..18c3259
--- /dev/null
+++ b/config/render/result_smpl.yml
@@ -0,0 +1,5 @@
+ranges: [0, 99999, 1]
+result_module: easymocap.visualize.render_base.Results
+result_args:
+  path: none
+  rend_type: mesh
\ No newline at end of file
diff --git a/config/render/video.yml b/config/render/video.yml
new file mode 100644
index 0000000..2382a74
--- /dev/null
+++ b/config/render/video.yml
@@ -0,0 +1,8 @@
+make_video: True
+
+video_module: easymocap.visualize.ffmpeg_wrapper.VideoMaker
+video_args:
+  restart: True
+  remove_images: False
+  fps_in: 50
+  fps_out: 50
\ No newline at end of file
diff --git a/config/render_index.yml b/config/render_index.yml
new file mode 100644
index 0000000..f5ec7a5
--- /dev/null
+++ b/config/render_index.yml
@@ -0,0 +1,60 @@
+skel:
+  alias: skel
+  result: config/render/result_skel.yml
+  images: config/render/input_mv.yml
+  output: config/render/output_repro.yml
+  video: config/render/video.yml
+mesh:
+  alias: mesh
+  result: config/render/result_smpl.yml
+  images: config/render/input_mv.yml
+  output: config/render/output_image.yml
+  video: config/render/video.yml
+ground+skel:
+  alias: ground
+  result: config/render/result_skel.yml
+  images: config/render/input_mv.yml
+  output: config/render/output_ground.yml
+  video: config/render/video.yml
+ground+mesh:
+  alias: ground
+  result: config/render/result_smpl.yml
+  images: config/render/input_mv.yml
+  output: config/render/output_ground.yml
+  video: config/render/video.yml
+ground+mesh+object:
+  alias: ground
+  result: config/render/result_smpl_object.yml
+  images: config/render/input_mv.yml
+  output: config/render/output_ground.yml
+  video: config/render/video.yml
+mesh-view:
+  alias: mesh
+  result: config/render/result_smpl.yml
+  images: config/render/input_mv.yml
+  output: config/render/output_image.yml
+  video: config/render/video.yml
+  opts: [output_args.merge, False]
+mask:
+  exp: mesh
+  alias: mask
+  opts: [output_args.mode, mask]
+depth:
+  exp: mesh
+  alias: depth
+  opts: [output_args.mode, depth, output_args.merge, False]
+mimoinstance:
+  alias: instance
+  result: config/render/result_smpl.yml
+  images: config/render/input_mv.yml
+  output: config/render/output_image.yml
+  video: config/render/video.yml
+  opts: [output_args.mode, instance-mask]
+instance-d0.05:
+  alias: instance
+  exp: mimoinstance
+  opts: [result_args.operation, dilation:0.05]
+instance-d0.1:
+  alias: instance
+  exp: mimoinstance
+  opts: [result_args.operation, dilation:0.1]
\ No newline at end of file
diff --git a/easymocap/visualize/render_base.py b/easymocap/visualize/render_base.py
new file mode 100644
index 0000000..9b12bdb
--- /dev/null
+++ b/easymocap/visualize/render_base.py
@@ -0,0 +1,320 @@
+'''
+  @ Date: 2021-11-22 15:16:14
+  @ Author: Qing Shuai
+  @ LastEditors: Qing Shuai
+  @ LastEditTime: 2022-09-28 21:40:17
+  @ FilePath: /EasyMocapPublic/easymocap/visualize/render_base.py
+'''
+from glob import glob
+from os.path import join
+import numpy as np
+
+from ..mytools.file_utils import read_json
+from ..mytools.debug_utils import log
+from ..mytools.reader import read_keypoints3d, read_smpl
+import os
+from ..mytools.camera_utils import read_cameras, Undistort
+import cv2
+from ..mytools.vis_base import merge, plot_keypoints_auto
+from ..config.baseconfig import load_object
+from .geometry import load_sphere
+
+def imwrite(imgname, img):
+    if not os.path.exists(os.path.dirname(imgname)):
+        os.makedirs(os.path.dirname(imgname))
+    if img.shape[0] % 2 == 1 or img.shape[1] % 2 == 1:
+        img = cv2.resize(img, (img.shape[1]//2*2, img.shape[0]//2*2))
+    cv2.imwrite(imgname, img)
+
+def compute_normals(vertices, faces):
+    normal = np.zeros_like(vertices)
+
+    # compute normal per triangle
+    normal_faces = np.cross(vertices[faces[:,1]] - vertices[faces[:,0]], vertices[faces[:,2]] - vertices[faces[:,0]])
+
+    # sum normals at vtx
+    normal[faces[:, 0]] += normal_faces[:]
+    normal[faces[:, 1]] += normal_faces[:]
+    normal[faces[:, 2]] += normal_faces[:]
+
+    # compute norms
+    normal = normal / np.linalg.norm(normal, axis=-1, keepdims=True)
+    
+    return normal
+
+def get_dilation_of_mesh(delta):
+    def func(info):
+        vertices = info['vertices']
+        normals = compute_normals(info['vertices'], info['faces'])
+        vertices += delta * normals
+        return info
+    return func
+
+class Results:
+    def __init__(self, body_model, path, rend_type,
+        operation='none') -> None:
+        self.path = path
+        self.body_model = body_model
+        self.skelnames = sorted(glob(join(path, '*.json')))
+        self.ismulti = False
+        if len(self.skelnames) == 0:
+            # 尝试找多视角的结果
+            subs = sorted(os.listdir(path))
+            assert len(subs) > 0, path
+            self.ismulti = True
+            self.subs = subs
+            self.skelnames = {}
+            for sub in subs:
+                skelnames = sorted(glob(join(path, sub, '*.json')))
+                self.skelnames[sub] = skelnames
+        self.rend_type = rend_type
+        self.read_func = {'skel': read_keypoints3d, 'mesh': read_smpl}[rend_type]
+        if operation.startswith('dilation'):
+            # TODO: 暂时直接解析
+            opfunc = get_dilation_of_mesh(float(operation.replace('dilation:', '')))
+        else:
+            opfunc = lambda x:x
+        self.operation = opfunc
+
+    def process(self, info):
+        return info
+
+    def read(self, skelname):
+        results = self.read_func(skelname)
+        render_data = {}
+        trans = np.array([[0., 0., 0., 0.]])
+        for info in results:
+            info['vertices'] = self.body_model(return_verts=True, return_tensor=False, **info)[0]
+            info['keypoints3d'] = self.body_model(return_verts=False, return_tensor=False, **info)[0]
+            info['vertices'] += trans[:, :3]
+            info['faces'] = self.body_model.faces
+            d = self.operation(info)
+            render_data[d['id']] = {
+                'vertices': d['vertices'], 'keypoints3d': d['keypoints3d'], 
+                'faces': info['faces'], 
+                'vid': d['id'], 'name': 'human_{}'.format(d['id'])}
+            if self.rend_type == 'skel':
+                render_data[d['id']]['smooth'] = False
+        return render_data
+
+    def get_multi(self, index):
+        datas = {}
+        for sub in self.subs:
+            skelname = self.skelnames[sub][index]
+            basename = os.path.basename(skelname).replace('.json', '')
+            render_data = self.read(skelname)
+            datas[sub] = render_data
+        return basename, datas
+
+    def __getitem__(self, index):
+        if self.ismulti:
+            return self.get_multi(index)
+        else:
+            skelname = self.skelnames[index]
+            basename = os.path.basename(skelname).replace('.json', '')
+            return basename, self.read(skelname)
+
+    def __len__(self):
+        if self.ismulti:
+            return len(self.skelnames[self.subs[0]])
+        else:
+            return len(self.skelnames)
+
+class ResultsObjects(Results):
+    def __init__(self, object,**kwargs) -> None:
+        super().__init__(**kwargs)
+        self.object = object
+    
+    def __getitem__(self, index):
+        basename, datas = super().__getitem__(index)
+        objectname = join(self.path, '..', '..', self.object, basename+'.json')
+        objects = read_json(objectname)
+        ret_objects = {}
+        for obj in objects:
+            pid = obj['id']
+            vertices, faces = load_sphere()
+            vertices *= 0.12
+            vertices += np.array(obj['keypoints3d'])[:, :3]
+            ret_objects[1000+pid] = {
+                'vertices': vertices,
+                'faces': faces,
+                'vid': pid,
+                'name': 'object_{}'.format(pid)
+            }
+        if self.ismulti:
+            for key, data in datas.items():
+                data.update(ret_objects)
+        else:
+            datas.update(ret_objects)
+        return basename, datas
+
+class Images:
+    def __init__(self, path, subs, image_args) -> None:
+        if path == 'none':
+            self.images = path
+            # no need for images
+            assert len(subs) > 0, '{} must non-empty'.format(subs)
+        else:
+            self.images = join(path, 'images')
+            if len(subs) == 0:
+                subs = sorted(os.listdir(self.images))
+                if subs[0].isdigit():
+                    subs.sort(key=lambda x:int(x))
+            self.cameras = read_cameras(path)
+        self.subs = subs
+        self.image_args = image_args
+        self.cameras_vis = {sub:cam.copy() for sub, cam in self.cameras.items()}
+        # rescale the camera
+        for cam in self.cameras_vis.values():
+            K = cam['K'].copy()
+            cam['K'][:2, :] *= image_args.scale
+        self.distortMap = {}
+
+    def __call__(self, basename):
+        if self.images == 'none':
+            # 返回空的图像
+            imgs = {sub: self.blank.copy() for sub in self.subs}
+            import ipdb; ipdb.set_trace()
+        else:
+            imgs = {}
+            for sub in self.subs:
+                imgname = join(self.images, sub, basename+self.image_args.ext)
+                if not os.path.exists(imgname):
+                    for ext in ['.jpg', '.png']:
+                        imgname_ = imgname.replace(self.image_args.ext, ext)
+                        if os.path.exists(imgname_):
+                            self.image_args.ext = ext
+                            imgname = imgname_
+                assert os.path.exists(imgname), imgname
+                img = cv2.imread(imgname)
+                if self.image_args.scale != 1:
+                    img = cv2.resize(img, None, fx=self.image_args.scale, fy=self.image_args.scale)
+                if self.image_args.undis:
+                    camera = self.cameras_vis[sub]
+                    K, D = camera['K'], camera['dist']
+                    if sub not in self.distortMap.keys():
+                        h,  w = img.shape[:2]
+                        mapx, mapy = cv2.initUndistortRectifyMap(camera['K'], camera['dist'], None, camera['K'], (w,h), 5)
+                        self.distortMap[sub] = (mapx, mapy)
+                    mapx, mapy = self.distortMap[sub]
+                    img = cv2.remap(img, mapx, mapy, cv2.INTER_LINEAR)
+                imgs[sub] = img
+        return imgs, self.cameras_vis
+
+class Repro:
+    def __init__(self, out, merge='none') -> None:
+        self.out = out
+        os.makedirs(self.out, exist_ok=True)
+        self.merge = merge
+    
+    @staticmethod
+    def repro(P, keypoints3d, img):
+        if keypoints3d.shape[1] == 3:
+            keypoints3d = np.hstack((keypoints3d, np.ones((keypoints3d.shape[0], 1))))
+        kcam = np.hstack([keypoints3d[:, :3], np.ones((keypoints3d.shape[0], 1))]) @ P.T
+        kcam = kcam[:, :]/kcam[:, 2:]
+        k2d = np.hstack((kcam, (keypoints3d[:, 3:]>0.)&(kcam[:, 2:] >0.1)))
+        from ..estimator.wrapper_base import bbox_from_keypoints
+        bbox = bbox_from_keypoints(k2d)
+        return k2d, bbox
+
+    def __call__(self, images, results, cameras, basename):
+        imgsout = {}
+        cams = list(images.keys())
+        for nv, cam in enumerate(cams):
+            img = images[cam]
+            outname = join(self.out, basename+'_' + cam +'.jpg')
+            # K可能缩放过了，所以需要重新计算
+            P = cameras[cam]['K'] @ cameras[cam]['RT']
+            for pid, info in results.items():
+                keypoints3d = info['keypoints3d']
+                k2d, bbox = self.repro(P, keypoints3d, img)
+                lw = int(max(bbox[2] - bbox[0], bbox[3] - bbox[1])/50)
+                # plot_bbox(img, bbox, pid=pid, vis_id=pid)
+                plot_keypoints_auto(img, k2d, pid=pid, use_limb_color=False)
+            imgsout[outname] = img
+        if self.merge == 'none':
+            for outname, img in imgsout.items():
+                cv2.imwrite(outname, img)
+        else:
+            outname = join(self.out, basename+'.jpg')
+            out = merge(list(imgsout.values()), square=True)
+            cv2.imwrite(outname, out)
+
+class Outputs:
+    def __init__(self, out, mode, backend, scene={}) -> None:
+        self.out = out
+        os.makedirs(self.out, exist_ok=True)
+        from .render_func import get_render_func, get_ext
+        self.render_func = get_render_func(mode, backend)
+        self.mode = mode
+        self.ext = get_ext(mode)
+        self.extra_mesh = {}
+        self.scene = []
+        for key, val in scene.items():
+            mesh = load_object(val.module, val.args)
+            log('[vis] Load extra mesh {}'.format(key))
+            self.scene.append(mesh)
+
+    def __call__(self, images, results, cameras, basename):
+        for i, mesh in enumerate(self.scene):
+            results[10000+i] = mesh
+        render_results = self.render_func(images, results, cameras, self.extra_mesh)
+        output = merge(list(render_results.values()), square=True)
+        if output.shape[0] > 10000:
+            scale = 5000./output.shape[0]
+            output = cv2.resize(output, None, fx=scale, fy=scale)
+        outname = join(self.out, basename+self.ext)
+        imwrite(outname, output)
+        return 0
+
+class MIOutputs(Outputs):
+    def __init__(self, out, mode, backend, merge=True, scene={}) -> None:
+        super().__init__(out, mode, backend, scene=scene)
+        self.merge = merge
+
+    def __call__(self, images, results, cameras, basename):
+        # 传个subs进来
+        # save the results to individual folders
+        subs = list(images.keys())
+        outputs = {}
+        for nv, sub in enumerate(subs):
+            if sub in results.keys():
+                result = results[sub]
+            # consider the case that the result is not in the results
+            # especially in multiview results and render novel view
+            else:
+                result = results
+                value0 = list(result.values())[0]
+                if 'vertices' not in value0.keys():
+                    continue
+            for i, mesh in enumerate(self.scene):
+                result[10000+i] = mesh
+            if self.mode == 'instance-mask' or self.mode == 'instance-depth':
+                # TODO: use depth to render instance mask and consider occlusion
+                for pid, value in result.items():
+                    if 'vertices' not in value.keys():
+                        print('[ERROR] vis view {}, pid {}'.format(sub, pid))
+                    output = self.render_func({sub:images[sub]}, 
+                    {pid:value}, 
+                    {sub:cameras[sub]}, self.extra_mesh)
+                    outname = join(self.out, sub, basename + '_{}'.format(pid) + self.ext)
+                    imwrite(outname, output[sub])
+                    continue
+            else:
+                output = self.render_func({sub:images[sub]}, 
+                    result, 
+                    {sub:cameras[sub]}, self.extra_mesh)
+                outputs[sub] = output[sub]
+        if len(outputs.keys()) == 0:
+            return 0
+        if self.merge:
+            outname = join(self.out, basename + self.ext)
+            outputs = merge(list(outputs.values()), square=True)
+            imwrite(outname, outputs)
+        else:
+            for nv, sub in enumerate(subs):
+                if sub not in outputs.keys():continue
+                outname = join(self.out, sub, basename + self.ext)
+                imwrite(outname, outputs[sub])
+        return 0
\ No newline at end of file