diff --git a/Readme.md b/Readme.md
index e2dbaa9..e78881f 100644
--- a/Readme.md
+++ b/Readme.md
@@ -2,7 +2,7 @@
  * @Date: 2021-01-13 20:32:12
  * @Author: Qing Shuai
  * @LastEditors: Qing Shuai
- * @LastEditTime: 2021-01-24 22:11:37
+ * @LastEditTime: 2021-01-25 19:35:14
  * @FilePath: /EasyMocapRelease/Readme.md
 -->
 # EasyMocap
@@ -74,10 +74,14 @@ out=path/to/output
 python3 scripts/preprocess/extract_video.py ${data}
 # 1. example for skeleton reconstruction
 python3 code/demo_mv1pmf_skel.py ${data} --out ${out} --vis_det --vis_repro --undis --sub_vis 1 7 13 19
-# 2. example for SMPL reconstruction
+# 2.1 example for SMPL reconstruction
 python3 code/demo_mv1pmf_smpl.py ${data} --out ${out} --end 300 --vis_smpl --undis --sub_vis 1 7 13 19 --gender male
-# 2. example for SMPL-X reconstruction
+# 2.2 example for SMPL-X reconstruction
 python3 code/demo_mv1pmf_smpl.py ${data} --out ${out} --undis --body bodyhandface --sub_vis 1 7 13 19 --start 400 --model smplx --vis_smpl --gender male
+# 3.1 example for rendering SMPLX to ${out}/smpl
+python3 code/vis_render.py ${data} --out ${out} --skel ${out}/smpl --model smplx --gender male --undis --start 400 --sub_vis 1
+# 3.2 example for rendering skeleton of SMPL to ${out}/smplskel
+python3 code/vis_render.py ${data} --out ${out} --skel ${out}/smpl --model smplx --gender male --undis --start 400 --sub_vis 1 --type smplskel --body bodyhandface
 ```
 
 ## Not Quick Start
diff --git a/code/dataset/base.py b/code/dataset/base.py
index 880d877..6a019b8 100644
--- a/code/dataset/base.py
+++ b/code/dataset/base.py
@@ -2,8 +2,8 @@
   @ Date: 2021-01-13 16:53:55
   @ Author: Qing Shuai
   @ LastEditors: Qing Shuai
-  @ LastEditTime: 2021-01-24 22:27:01
-  @ FilePath: /EasyMocapRelease/code/dataset/base.py
+  @ LastEditTime: 2021-01-25 19:12:34
+  @ FilePath: /EasyMocap/code/dataset/base.py
 '''
 import os
 import json
@@ -351,6 +351,8 @@ class MVBase(Dataset):
         self.mode = mode
         self.undis = undis
         self.no_img = no_img
+        # use when debug
+        self.ret_crop = False
         self.config = config
         # results path
         # the results store keypoints3d
@@ -425,6 +427,18 @@ class MVBase(Dataset):
                 images.append(img)
             # TODO:这里直接取了0
             annot = read_annot(annname, self.mode)
+            if self.ret_crop:
+                for det in annot:
+                    bbox = det['bbox']
+                    l, t, r, b = det['bbox'][:4]
+                    l = max(0, int(l+0.5))
+                    t = max(0, int(t+0.5))
+                    r = min(img.shape[1], int(r+0.5))
+                    b = min(img.shape[0], int(b+0.5))
+                    det['bbox'][:4] = [l, t, r, b]
+                    crop_img = img[t:b, l:r, :]
+                    crop_img = cv2.resize(crop_img, (128, 256))
+                    det['crop'] = crop_img
             annots.append(annot)
         if self.undis:
             images = self.undistort(images)
@@ -465,6 +479,29 @@ class MVBase(Dataset):
             results.append(result)
         self.writer.write_smpl(results, nf)
 
+    def vis_smpl(self, peopleDict, faces, images, nf, sub_vis=[], 
+        mode='smpl', extra_data=[], add_back=True):
+        # render the smpl to each view
+        render_data = {}
+        for pid, data in peopleDict.items():
+            render_data[pid] = {
+                'vertices': data.vertices, 'faces': faces, 
+                'vid': pid, 'name': 'human_{}_{}'.format(nf, pid)}
+        for iid, extra in enumerate(extra_data):
+            render_data[10000+iid] = {
+                'vertices': extra['vertices'],
+                'faces': extra['faces'],
+                'colors': extra['colors'],
+                'name': extra['name']
+            }
+        cameras = {'K': [], 'R':[], 'T':[]}
+        if len(sub_vis) == 0:
+            sub_vis = self.cams
+        for key in cameras.keys():
+            cameras[key] = [self.cameras[cam][key] for cam in sub_vis]
+        images = [images[self.cams.index(cam)] for cam in sub_vis]
+        self.writer.vis_smpl(render_data, nf, images, cameras, mode, add_back=add_back)
+
     def read_skel(self, nf, mode='none'):
         if mode == 'a4d':
             outname = join(self.skel_path, '{}.txt'.format(nf))
diff --git a/code/demo_mv1pmf_smpl.py b/code/demo_mv1pmf_smpl.py
index 55d8aeb..f4ce352 100644
--- a/code/demo_mv1pmf_smpl.py
+++ b/code/demo_mv1pmf_smpl.py
@@ -2,7 +2,7 @@
   @ Date: 2021-01-12 17:08:25
   @ Author: Qing Shuai
   @ LastEditors: Qing Shuai
-  @ LastEditTime: 2021-01-24 22:26:09
+  @ LastEditTime: 2021-01-25 19:32:44
   @ FilePath: /EasyMocapRelease/code/demo_mv1pmf_smpl.py
 '''
 # show skeleton and reprojection
@@ -23,10 +23,7 @@ def load_weight_shape():
 def load_weight_pose(model):
     if model == 'smpl':
         weight = {
-            'k3d': 1., 'reg_poses_zero': 1e-2,
-            'reg_expression': 1e-1,
-            'smooth_joints': 1e-5
-            # 'smooth_Rh': 1e-1, 'smooth_Th': 1e-1, 'smooth_poses': 1e-1, 'smooth_hands': 1e-2
+            'k3d': 1., 'reg_poses_zero': 1e-2, 'smooth_body': 1e-2
         }
     elif model == 'smplh':
         weight = {
@@ -38,7 +35,6 @@ def load_weight_pose(model):
             'k3d': 1., 'reg_poses_zero': 1e-3,
             'reg_expression': 1e-2,
             'smooth_body': 1e-2, 'smooth_hand': 1e-2
-            # 'smooth_Rh': 1e-1, 'smooth_Th': 1e-1, 'smooth_poses': 1e-1, 'smooth_hands': 1e-2
         }
     else:
         raise NotImplementedError
diff --git a/code/mytools/reconstruction.py b/code/mytools/reconstruction.py
index 3657a82..5a11d15 100644
--- a/code/mytools/reconstruction.py
+++ b/code/mytools/reconstruction.py
@@ -2,8 +2,8 @@
  * @ Date: 2020-09-14 11:01:52
  * @ Author: Qing Shuai
   @ LastEditors: Qing Shuai
-  @ LastEditTime: 2021-01-24 22:28:09
-  @ FilePath: /EasyMocapRelease/code/mytools/reconstruction.py
+  @ LastEditTime: 2021-01-25 16:06:41
+  @ FilePath: /EasyMocap/code/mytools/reconstruction.py
 '''
 
 import numpy as np
@@ -72,14 +72,14 @@ def simple_recon_person(keypoints_use, Puse, config=None, ret_repro=False):
     # 计算重投影误差
     kpts_repro = projectN3(out, Puse)
     square_diff = (keypoints_use[:, :, :2] - kpts_repro[:, :, :2])**2 
-    # conf = (out[None, :, -1] > 0.01) * (keypoints_use[:, :, 2] > 0.01)
     conf = np.repeat(out[None, :, -1:], len(Puse), 0)
     kpts_repro = np.concatenate((kpts_repro, conf), axis=2)
     if conf.sum() < 3: # 至少得有3个有效的关节
         repro_error = 1e3
     else:
+        conf2d = conf *(keypoints_use[:, :, -1:] > 0.01)
         # (nViews, nJoints): reprojection error for each joint in each view
-        repro_error_joint = np.sqrt(square_diff.sum(axis=2, keepdims=True))*conf
+        repro_error_joint = np.sqrt(square_diff.sum(axis=2, keepdims=True))*conf2d
         # remove the not valid joints
         # remove the bad views
         repro_error = repro_error_joint.sum()/conf.sum()
diff --git a/code/vis_render.py b/code/vis_render.py
new file mode 100644
index 0000000..cbf6029
--- /dev/null
+++ b/code/vis_render.py
@@ -0,0 +1,97 @@
+'''
+  @ Date: 2021-01-17 21:14:50
+  @ Author: Qing Shuai
+  @ LastEditors: Qing Shuai
+  @ LastEditTime: 2021-01-25 19:34:46
+  @ FilePath: /EasyMocapRelease/code/vis_render.py
+'''
+# visualize the results by pyrender
+import pyrender # first import the pyrender
+from collections import namedtuple
+from dataset.base import MVBase
+from dataset.config import CONFIG
+import numpy as np
+from tqdm import tqdm
+from visualize.geometry import create_ground
+
+Person = namedtuple('Person', ['vertices', 'keypoints3d'])
+
+def inBound(keypoints3d, bound):
+    if bound is None:
+        return True
+    valid = np.where(keypoints3d[:, -1] > 0.01)[0]
+    kpts = keypoints3d[valid]
+    crit = (kpts[:, 0] > bound[0][0]) & (kpts[:, 0] < bound[1][0]) &\
+        (kpts[:, 1] > bound[0][1]) & (kpts[:, 1] < bound[1][1]) &\
+        (kpts[:, 2] > bound[0][2]) & (kpts[:, 2] < bound[1][2])
+    if crit.sum()/crit.shape[0] < 0.8:
+        return False
+    else:
+        return True 
+
+def visualize(path, sub, out, mode, rend_type, args):
+    config = CONFIG[mode]
+    no_img = False
+    dataset = MVBase(path, cams=sub, config=config,
+        undis=args.undis, no_img=no_img, out=out)
+    dataset.skel_path = args.skel
+    if rend_type in ['skel']:
+        from visualize.skelmodel import SkelModel
+        body_model = SkelModel(config['nJoints'], config['kintree'])
+    elif rend_type in ['mesh']:
+        from smplmodel import load_model
+        body_model = load_model(args.gender, model_type=args.model)
+        smpl_model = body_model
+    elif rend_type == 'smplskel':
+        from smplmodel import load_model
+        smpl_model = load_model(args.gender, model_type=args.model)
+        from visualize.skelmodel import SkelModel
+        body_model = SkelModel(config['nJoints'], config['kintree'])
+    
+    dataset.writer.save_origin = args.save_origin
+    start, end = args.start, min(args.end, len(dataset))
+    bound = None
+    if args.scene == 'none':
+        ground = create_ground(step=0.5)
+    elif args.scene == 'hw':
+        ground = create_ground(step=1, xrange=14, yrange=10, two_sides=False)
+        bound = [[0, 0, 0], [14, 10, 2.5]]
+    else:
+        ground = create_ground(step=1, xrange=28, yrange=15, two_sides=False)
+    for nf in tqdm(range(start, end), desc='rendering'):
+        images, annots = dataset[nf]
+        if rend_type == 'skel':
+            infos = dataset.read_skel(nf)
+        else:
+            infos = dataset.read_smpl(nf)
+        # body_model: input: keypoints3d/smpl params, output: vertices, (colors)
+        # The element of peopleDict must have `id`, `vertices`
+        peopleDict = {}
+        for info in infos:
+            if rend_type == 'skel':
+                joints = info['keypoints3d']
+            else:
+                joints = smpl_model(return_verts=False, return_tensor=False, **info)[0]
+            if not inBound(joints, bound):
+                continue
+            if rend_type == 'smplskel':
+                joints = smpl_model(return_verts=False, return_tensor=False, **info)[0]
+                joints = np.hstack([joints, np.ones((joints.shape[0], 1))])
+                info_new = {'id': info['id'], 'keypoints3d': joints}
+                vertices = body_model(return_verts=True, return_tensor=False, **info_new)[0]
+            else:
+                vertices = body_model(return_verts=True, return_tensor=False, **info)[0]
+            peopleDict[info['id']] = Person(vertices=vertices, keypoints3d=None)
+        dataset.vis_smpl(peopleDict, faces=body_model.faces, images=images, nf=nf, 
+            sub_vis=args.sub_vis, mode=rend_type, extra_data=[ground], add_back=args.add_back)
+
+if __name__ == "__main__":
+    from mytools.cmd_loader import load_parser
+    parser = load_parser()
+    parser.add_argument('--type', type=str, default='mesh', choices=['skel', 'mesh', 'smplskel'])
+    parser.add_argument('--scene', type=str, default='none', choices=['none', 'zjub', 'hw'])
+    parser.add_argument('--skel', type=str, default=None)
+    parser.add_argument('--add_back', action='store_true')
+    parser.add_argument('--save_origin', action='store_true')
+    args = parser.parse_args()
+    visualize(args.path, args.sub, args.out, args.body, args.type, args)
\ No newline at end of file
diff --git a/code/visualize/geometry.py b/code/visualize/geometry.py
new file mode 100644
index 0000000..8fd36ee
--- /dev/null
+++ b/code/visualize/geometry.py
@@ -0,0 +1,82 @@
+'''
+  @ Date: 2021-01-17 22:44:34
+  @ Author: Qing Shuai
+  @ LastEditors: Qing Shuai
+  @ LastEditTime: 2021-01-25 19:14:20
+  @ FilePath: /EasyMocapRelease/code/visualize/geometry.py
+'''
+import numpy as np
+import cv2
+import numpy as np
+
+def create_ground(
+    center=[0, 0, 0], xdir=[1, 0, 0], ydir=[0, 1, 0], # 位置
+    step=1, xrange=10, yrange=10, # 尺寸
+    white=[1., 1., 1.], black=[0.,0.,0.], # 颜色
+    two_sides=True
+    ):
+    if isinstance(center, list):
+        center = np.array(center)
+        xdir = np.array(xdir)
+        ydir = np.array(ydir)
+    xdir = xdir * step
+    ydir = ydir * step
+    vertls, trils, colls = [],[],[]
+    cnt = 0
+    min_x = -xrange if two_sides else 0
+    min_y = -yrange if two_sides else 0
+    for i in range(min_x, xrange+1):
+        for j in range(min_y, yrange+1):
+            point0 = center + i*xdir + j*ydir
+            point1 = center + (i+1)*xdir + j*ydir
+            point2 = center + (i+1)*xdir + (j+1)*ydir
+            point3 = center + (i)*xdir + (j+1)*ydir
+            if (i%2==0 and j%2==0) or (i%2==1 and j%2==1):
+                col = white
+            else:
+                col = black
+            vert = np.stack([point0, point1, point2, point3])
+            col = np.stack([col for _ in range(vert.shape[0])])
+            tri = np.array([[2, 3, 0], [0, 1, 2]]) + vert.shape[0] * cnt
+            cnt += 1
+            vertls.append(vert)
+            trils.append(tri)
+            colls.append(col)
+    vertls = np.vstack(vertls)
+    trils = np.vstack(trils)
+    colls = np.vstack(colls)
+    return {'vertices': vertls, 'faces': trils, 'colors': colls, 'name': 'ground'}
+
+
+def get_rotation_from_two_directions(direc0, direc1):
+    direc0 = direc0/np.linalg.norm(direc0)
+    direc1 = direc1/np.linalg.norm(direc1)
+    rotdir = np.cross(direc0, direc1)
+    if np.linalg.norm(rotdir) < 1e-2:
+        return np.eye(3)
+    rotdir = rotdir/np.linalg.norm(rotdir)
+    rotdir = rotdir * np.arccos(np.dot(direc0, direc1))
+    rotmat, _ = cv2.Rodrigues(rotdir)
+    return rotmat
+    
+def create_plane(normal, point, width=1, height=1, depth=0.005):
+    mesh_box = TriangleMesh.create_box(width=2*width, height=2*height, depth=2*depth)
+    mesh_box.paint_uniform_color([0.8, 0.8, 0.8])
+    # 根据normal计算旋转
+    rotmat = get_rotation_from_two_directions(np.array([0, 0, 1]), normal[0])
+    transform0 = np.eye(4)
+    transform0[0, 3] = -width
+    transform0[1, 3] = -height
+    transform0[2, 3] = -depth
+    transform = np.eye(4)
+    transform[:3, :3] = rotmat
+    transform[0, 3] = point[0, 0]
+    transform[1, 3] = point[0, 1]
+    transform[2, 3] = point[0, 2]
+    mesh_box.transform(transform @ transform0)
+    return {'vertices': np.asarray(mesh_box.vertices), 'faces': np.asarray(mesh_box.triangles), 'colors': np.asarray(mesh_box.vertex_colors), 'name': 'ground'}
+    faces = np.loadtxt('./code/visualize/sphere_faces_20.txt', dtype=np.int)
+    vertices = np.loadtxt('./code/visualize/sphere_vertices_20.txt')
+    colors = np.ones((vertices.shape[0], 3))
+    
+    return {'vertices': vertices, 'faces': faces, 'colors': colors, 'name': 'ground'}
diff --git a/code/visualize/skelmodel.py b/code/visualize/skelmodel.py
new file mode 100644
index 0000000..58577c6
--- /dev/null
+++ b/code/visualize/skelmodel.py
@@ -0,0 +1,74 @@
+'''
+  @ Date: 2021-01-17 21:38:19
+  @ Author: Qing Shuai
+  @ LastEditors: Qing Shuai
+  @ LastEditTime: 2021-01-22 23:08:18
+  @ FilePath: /EasyMocap/code/visualize/skelmodel.py
+'''
+import numpy as np
+import cv2
+
+def calTransformation(v_i, v_j, r, adaptr=False, ratio=10):
+    """ from to vertices to T
+    
+    Arguments:
+        v_i {} -- [description]
+        v_j {[type]} -- [description]
+    """
+    xaxis = np.array([1, 0, 0])
+    v = (v_i + v_j)/2
+    direc = (v_i - v_j)
+    length = np.linalg.norm(direc)
+    direc = direc/length
+    rotdir = np.cross(xaxis, direc)
+    rotdir = rotdir/np.linalg.norm(rotdir)
+    rotdir = rotdir * np.arccos(np.dot(direc, xaxis))
+    rotmat, _ = cv2.Rodrigues(rotdir)
+    # set the minimal radius for the finger and face
+    shrink = max(length/ratio, 0.005)
+    eigval = np.array([[length/2/r, 0, 0], [0, shrink, 0], [0, 0, shrink]])
+    T = np.eye(4)
+    T[:3,:3] = rotmat @ eigval @ rotmat.T
+    T[:3, 3] = v
+    return T, r, length
+
+class SkelModel:
+    def __init__(self, nJoints, kintree) -> None:
+        self.nJoints = nJoints
+        self.kintree = kintree
+        faces = np.loadtxt('./code/visualize/sphere_faces_20.txt', dtype=np.int)
+        self.vertices = np.loadtxt('./code/visualize/sphere_vertices_20.txt')
+        # compose faces
+        faces_all = []
+        for nj in range(nJoints):
+            faces_all.append(faces + nj*self.vertices.shape[0])
+        for nk in range(len(kintree)):
+            faces_all.append(faces + nJoints*self.vertices.shape[0] + nk*self.vertices.shape[0])
+        self.faces = np.vstack(faces_all)
+
+    def __call__(self, keypoints3d, id=0, return_verts=True, return_tensor=False):
+        vertices_all = []
+        r = 0.02
+        # joints 
+        for nj in range(self.nJoints):
+            if nj > 25:
+                r_ = r * 0.4
+            else:
+                r_ = r
+            if keypoints3d[nj, -1] < 0.01:
+                vertices_all.append(self.vertices*0.001)
+                continue
+            vertices_all.append(self.vertices*r_ + keypoints3d[nj:nj+1, :3])
+        # limb
+        for nk, (i, j) in enumerate(self.kintree):
+            if keypoints3d[i][-1] < 0.1 or keypoints3d[j][-1] < 0.1:
+                vertices_all.append(self.vertices*0.001)
+                continue
+            T, _, length = calTransformation(keypoints3d[i, :3], keypoints3d[j, :3], r=1)
+            if length > 2: # 超过两米的
+                vertices_all.append(self.vertices*0.001)
+                continue
+            vertices = self.vertices @ T[:3, :3].T + T[:3, 3:].T
+            vertices_all.append(vertices)
+        vertices = np.vstack(vertices_all)
+        return vertices[None, :, :]
\ No newline at end of file
diff --git a/code/visualize/sphere_faces_20.txt b/code/visualize/sphere_faces_20.txt
new file mode 100644
index 0000000..8e5c762
--- /dev/null
+++ b/code/visualize/sphere_faces_20.txt
@@ -0,0 +1,1520 @@
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diff --git a/scripts/preprocess/extract_video.py b/scripts/preprocess/extract_video.py
index 0e340a1..df80da1 100644
--- a/scripts/preprocess/extract_video.py
+++ b/scripts/preprocess/extract_video.py
@@ -2,7 +2,7 @@
   @ Date: 2021-01-13 20:38:33
   @ Author: Qing Shuai
   @ LastEditors: Qing Shuai
-  @ LastEditTime: 2021-01-22 20:45:37
+  @ LastEditTime: 2021-01-25 14:41:56
   @ FilePath: /EasyMocap/scripts/preprocess/extract_video.py
 '''
 import os, sys
@@ -16,7 +16,7 @@ sys.path.append(code_path)
 
 mkdir = lambda x: os.makedirs(x, exist_ok=True)
 
-def extract_video(videoname, path, start=0, end=10000, step=1):
+def extract_video(videoname, path, start, end, step):
     base = os.path.basename(videoname).replace('.mp4', '')
     if not os.path.exists(videoname):
         return base
@@ -193,6 +193,12 @@ if __name__ == "__main__":
         default='/media/qing/Project/openpose')
     parser.add_argument('--render', action='store_true', help='use to render the openpose 2d')
     parser.add_argument('--no2d', action='store_true')
+    parser.add_argument('--start', type=int, default=0,
+        help='frame start')
+    parser.add_argument('--end', type=int, default=10000,
+        help='frame end')    
+    parser.add_argument('--step', type=int, default=1,
+        help='frame step')
     parser.add_argument('--debug', action='store_true')
     args = parser.parse_args()
     mode = args.mode
@@ -201,7 +207,7 @@ if __name__ == "__main__":
         videos = sorted(glob(join(args.path, 'videos', '*.mp4')))
         subs = []
         for video in videos:
-            basename = extract_video(video, args.path)
+            basename = extract_video(video, args.path, start=args.start, end=args.end, step=args.step)
             subs.append(basename)
         print('cameras: ', ' '.join(subs))
         if not args.no2d: