added example script

app.py

@@ -22,6 +22,9 @@ os.environ['CUDA_VISIBLE_DEVICES'] = '-1'
 sys.path.append("Repositories/")
 from dlclive import DLCLive, Processor
 
+import os
+import cv2
+
 def run_Inference(input_img):
 
     ###Detectron:
@@ -38,13 +41,21 @@ def run_Inference(input_img):
     dlc_proc = Processor()
     dlc_liveObj = DLCLive("./Weights/DLC_DLC_Segmented_resnet_50_iteration-0_shuffle-1/", processor=dlc_proc)
     
-    OutImg = Inference.Inference(input_img,predictor,dlc_liveObj,ScaleBBox=1,Dilate=5,DLCThreshold=0.3)
+    OutImg = Inference.Inference(input_img,predictor,dlc_liveObj,ScaleBBox=1.2,Dilate=5,DLCThreshold=0.3)
 
     return OutImg
 
+
+##Get sample images
+ImgList = [os.path.join("Samples",img) for img in os.listdir("Samples")]
+# for imgPath in [os.path.join("Samples",img) for img in os.listdir("Samples")]:
+#     frame = cv2.imread(filename=imgPath)
+#     ImgList.append(frame)
+
 demo = gr.Interface(run_Inference, 
                     gr.Image(), 
                     "image",
+                    examples=ImgList,
                     title="PigeonEverywhere",
                     description="Upload a photo of a pigeon, and get 2D keypoint estimation.\nFor more info on how this was done, see:https://arxiv.org/abs/2308.15316 ")
 demo.launch()