support fullbody human

README.md

@@ -77,6 +77,28 @@ python app.py --tts xtts --ref_file data/ref.wav
 python app.py --asr_model facebook/hubert-large-ls960-ft 
 ```
 
+### 3.4 设置背景图片
+```
+python app.py --bg_img bg.jpg 
+```
+
+### 3.5 全身视频拼接
+#### 3.5.1 切割训练用的视频
+```
+ffmpeg -i fullbody.mp4 -vf crop="400:400:100:5" train.mp4 
+```
+用train.mp4训练模型
+#### 3.5.2 提取全身图片
+```
+ffmpeg -i fullbody.mp4 -vf fps=25 -qmin 1 -q:v 1 -start_number 0 data/fullbody/img/%d.jpg
+```
+#### 3.5.2 启动数字人
+```
+python app.py --fullbody --fullbody_img data/fullbody/img --fullbody_offset_x 100 --fullbody_offset_y 5 --fullbody_width 580 --fullbody_height 1080 --W 400 --H 400
+```
+- --fullbody_width、--fullbody_height 全身视频的宽、高
+- --W、--H 训练视频的宽、高
+  
 ## 4. Docker Run  
 不需要第1步的安装，直接运行。
 ```

app.py

@@ -260,6 +260,13 @@ if __name__ == '__main__':
     parser.add_argument('-m', type=int, default=50)
     parser.add_argument('-r', type=int, default=10)
 
+    parser.add_argument('--fullbody', action='store_true', help="fullbody human")
+    parser.add_argument('--fullbody_img', type=str, default='data/fullbody/img')
+    parser.add_argument('--fullbody_width', type=int, default=580)
+    parser.add_argument('--fullbody_height', type=int, default=1080)
+    parser.add_argument('--fullbody_offset_x', type=int, default=0)
+    parser.add_argument('--fullbody_offset_y', type=int, default=0)
+
     parser.add_argument('--tts', type=str, default='edgetts') #xtts
     parser.add_argument('--ref_file', type=str, default=None)
     parser.add_argument('--xtts_server', type=str, default='http://localhost:9000')

nerfreal.py

@@ -7,6 +7,7 @@ import subprocess
 import os
 import time
 import torch.nn.functional as F
+import cv2
 
 from asrreal import ASR
 from rtmp_streaming import StreamerConfig, Streamer
@@ -33,6 +34,10 @@ class NeRFReal:
         self.audio_features = data_loader._data.auds # [N, 29, 16]
         self.audio_idx = 0
 
+        self.frame_total_num = data_loader._data.end_index
+        print("frame_total_num:",self.frame_total_num)
+        self.frame_index=0
+
         # control eye
         self.eye_area = None if not self.opt.exp_eye else data_loader._data.eye_area.mean().item()
 
@@ -132,7 +137,15 @@ class NeRFReal:
             #print('-------ernerf time: ',time.time()-t)
             #print(f'[INFO] outputs shape ',outputs['image'].shape)
             image = (outputs['image'] * 255).astype(np.uint8)
-            self.streamer.stream_frame(image)
+            if not self.opt.fullbody:
+                self.streamer.stream_frame(image)
+            else: #fullbody human
+                image_fullbody = cv2.imread(os.path.join(self.opt.fullbody_img, str(self.frame_index%self.frame_total_num)+'.jpg'))
+                image_fullbody = cv2.cvtColor(image_fullbody, cv2.COLOR_BGR2RGB)
+                start_x = self.opt.fullbody_offset_x  # 合并后小图片的起始x坐标
+                start_y = self.opt.fullbody_offset_y  # 合并后小图片的起始y坐标
+                image_fullbody[start_y:start_y+image.shape[0], start_x:start_x+image.shape[1]] = image
+                self.streamer.stream_frame(image_fullbody)
             #self.pipe.stdin.write(image.tostring())
             for _ in range(2):
                 frame = self.asr.get_audio_out()
@@ -164,6 +177,11 @@ class NeRFReal:
         sc.source_height = self.H
         sc.stream_width = self.W
         sc.stream_height = self.H
+        if self.opt.fullbody:
+            sc.source_width = self.opt.fullbody_width
+            sc.source_height = self.opt.fullbody_height
+            sc.stream_width = self.opt.fullbody_width
+            sc.stream_height = self.opt.fullbody_height
         sc.stream_fps = fps
         sc.stream_bitrate = 1000000
         sc.stream_profile = 'baseline' #'high444' # 'main'
@@ -183,6 +201,7 @@ class NeRFReal:
                 for _ in range(2):
                     self.asr.run_step()
             self.test_step()
+            self.frame_index = (self.frame_index+1)%self.frame_total_num
             totaltime += (time.time() - t)
             count += 1
             if count==100: