chore: add examples

.gitattributes

@@ -29,3 +29,6 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+*.mp4 filter=lfs diff=lfs merge=lfs -text
+examples/norfair_demo.mp4 filter=lfs diff=lfs merge=lfs -text
+examples/soccer.mp4 filter=lfs diff=lfs merge=lfs -text

app.py

@@ -1,3 +1,5 @@
+import os
+
 import gradio as gr
 
 from inference import inference
@@ -16,16 +18,27 @@ dd_track_points = gr.Dropdown(
 
 slide_threshold = gr.Slider(minimum=0, maximum=1, value=0.25, label="Model confidence threshold")
 
-inputs = [
-    input_video,
-    dd_model,
-    cb_motion_estimation,
-    cb_path_draw,
-    dd_track_points,
-    slide_threshold,
-]
-outputs = "playablevideo"
-
-iface = gr.Interface(fn=inference, inputs=inputs, outputs=outputs)
+# examples_folder = "examples"
+# examples_list = []
+
+# if os.path.isdir(examples_folder):
+#     for file in os.listdir(examples_folder):
+#         path = examples_folder + "/" + file
+#         examples_list.append([path])
+
+output_component = "playablevideo"
+
+iface = gr.Interface(
+    fn=inference,
+    inputs=[
+        input_video,
+        dd_model,
+        cb_motion_estimation,
+        cb_path_draw,
+        dd_track_points,
+        slide_threshold,
+    ],
+    outputs=output_component,
+)
 
 iface.launch()

examples/norfair_demo.mp4

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:229c5a583c452013772c23500151729aac7ec31e842467d0a59079c8a794bdaf
+size 6431821

examples/soccer.mp4

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:59c2130cc691e92b5178cfb6285c253bdd1fa178764abba1c59289fc1b15450d
+size 6211233