111

FER_dinamic_LSTM_IEMOCAP.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:0cd1561a72f9de26c315bb857f03e8946635db047e0dbea52bb0276610f19751
+size 11569208

FER_static_ResNet50_AffectNet.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:8274190b5be4355bd2f07b59f593fcdb294f9d7c563bfa9ac9e5ea06c10692d2
+size 98562934

app.py

@@ -24,22 +24,22 @@ def clear_dynamic_info():
     )
 
 with gr.Blocks(css="app.css") as demo:
-    with gr.Tab("Dynamic App"):
+    with gr.Tab("动态视频分析"):
         gr.Markdown(value=DESCRIPTION_DYNAMIC)
         with gr.Row():
             with gr.Column(scale=2):
                 input_video = gr.Video(elem_classes="video1")
                 with gr.Row():
                     clear_btn_dynamic = gr.Button(
-                        value="Clear", interactive=True, scale=1
+                        value="清楚", interactive=True, scale=1
                     )
                     submit_dynamic = gr.Button(
-                        value="Submit", interactive=True, scale=1, elem_classes="submit"
+                        value="提交", interactive=True, scale=1, elem_classes="提交"
                     )
             with gr.Column(scale=2, elem_classes="dl4"):
                 with gr.Row():
-                    output_video = gr.Video(label="Original video", scale=1, elem_classes="video2")
-                    output_face = gr.Video(label="Pre-processed video", scale=1, elem_classes="video3")
+                    #output_video = gr.Video(label="Original video", scale=1, elem_classes="video2")
+                    #output_face = gr.Video(label="Pre-processed video", scale=1, elem_classes="video3")
                     output_heatmaps = gr.Video(label="Heatmaps", scale=1, elem_classes="video4")
                 output_statistics = gr.Plot(label="Statistics of emotions", elem_classes="stat")
         #gr.Examples(