v2

app.py

@@ -7,21 +7,21 @@ import numpy as np
 
 model = from_pretrained_keras("yusyel/clothing")
 
-class_names=["dress.jpg",
-        "hat.jpg",
-        "longsleee.jpg",
-        "outwear.pg",
-        "pants.jpg",
-        "shirt.jpg",
-        "shoes.jpg",
-        "shorts.jpg",
-        "skirt.jpg",
-        "t-shirt.jpg"]
+class_names=["dress",
+        "hat",
+        "longsleee",
+        "outwear",
+        "pants",
+        "shirt",
+        "shoes",
+        "shorts",
+        "skirt",
+        "t-shirt"]
 
 
 
 def preprocess_image(img):
-    img = load_img(img, target_size=(249, 249, 3))
+    img = load_img(img, target_size=(299, 299, 3))
     img = image.img_to_array(img)
     img = np.expand_dims(img, axis=0)
     img /= 255.0
@@ -33,7 +33,8 @@ def preprocess_image(img):
 def predict(img):
     img = preprocess_image(img)
     pred = model.predict(img)
-    pred = np.squeeze(pred).astype(float)
+    print(pred)
+    pred = np.round(np.squeeze(pred).astype(float),5)
     print(pred)
     return dict(zip(class_names, pred))
 
@@ -50,7 +51,7 @@ demo = gr.Interface(
         ["./img/pants.jpg"],
         ["./img/shirt.jpg"],
         ["./img/shoes.jpg"],
-        ["./img/shorts.jpg"],
+        ["./img/short.jpg"],
         ["./img/skirt.jpg"],
         ["./img/t-shirt.jpg"],
     ],

flagged/log.csv

@@ -0,0 +1,5 @@
+img,output,flag,username,timestamp
+/home/yusuf/okul/clothing/flagged/img/edf8db2e47ee5fb67942da896db080edef19574e/tmp1qgn1e9n.jpg,/home/yusuf/okul/clothing/flagged/output/tmpoz3eynnc.json,,,2023-08-22 19:05:19.413148
+/home/yusuf/okul/clothing/flagged/img/302233888fff6cbb20dc571a2aa2f4ca4582a82c/tmp10zz4cfv.jpg,/home/yusuf/okul/clothing/flagged/output/tmpy4wj9m6r.json,,,2023-08-22 19:46:06.542922
+/home/yusuf/okul/clothing/flagged/img/0ce3b8e7aa4df42ff211fc38c49a73e486b3accf/tmpva0ptb1u.jpg,/home/yusuf/okul/clothing/flagged/output/tmpdi2ceh8q.json,,,2023-08-22 19:46:07.960612
+/home/yusuf/okul/clothing/flagged/img/c55bbd60f3f87a4a3ae82b289045d0f9471ea3b4/tmp94igg62a.jpg,/home/yusuf/okul/clothing/flagged/output/tmplsiza_8_.json,,,2023-08-22 19:46:13.040043

flagged/output/tmpdi2ceh8q.json

@@ -0,0 +1 @@
+{"label": "t-shirt", "confidences": [{"label": "t-shirt", "confidence": 6.181421756744385}, {"label": "longsleee", "confidence": 3.4848127365112305}, {"label": "dress", "confidence": 2.3854408264160156}, {"label": "shirt", "confidence": -1.1809395551681519}, {"label": "shorts", "confidence": -2.108891248703003}, {"label": "shoes", "confidence": -3.061194658279419}, {"label": "hat", "confidence": -3.9095823764801025}, {"label": "outwear", "confidence": -4.6832733154296875}, {"label": "pants", "confidence": -5.055410861968994}, {"label": "skirt", "confidence": -5.316753387451172}]}

flagged/output/tmplsiza_8_.json

@@ -0,0 +1 @@
+{"label": "t-shirt", "confidences": [{"label": "t-shirt", "confidence": 6.181421756744385}, {"label": "longsleee", "confidence": 3.4848127365112305}, {"label": "dress", "confidence": 2.3854408264160156}, {"label": "shirt", "confidence": -1.1809395551681519}, {"label": "shorts", "confidence": -2.108891248703003}, {"label": "shoes", "confidence": -3.061194658279419}, {"label": "hat", "confidence": -3.9095823764801025}, {"label": "outwear", "confidence": -4.6832733154296875}, {"label": "pants", "confidence": -5.055410861968994}, {"label": "skirt", "confidence": -5.316753387451172}]}

flagged/output/tmpoz3eynnc.json

@@ -0,0 +1 @@
+{"label": "t-shirt", "confidences": [{"label": "t-shirt", "confidence": 6.181421756744385}, {"label": "longsleee", "confidence": 3.4848124980926514}, {"label": "dress", "confidence": 2.385441303253174}, {"label": "shirt", "confidence": -1.1809393167495728}, {"label": "shorts", "confidence": -2.108891487121582}, {"label": "shoes", "confidence": -3.0611960887908936}, {"label": "hat", "confidence": -3.9095826148986816}, {"label": "outwear", "confidence": -4.683272838592529}, {"label": "pants", "confidence": -5.055410385131836}, {"label": "skirt", "confidence": -5.316753387451172}]}

flagged/output/tmpy4wj9m6r.json

@@ -0,0 +1 @@
+{"label": "t-shirt", "confidences": [{"label": "t-shirt", "confidence": 6.181421756744385}, {"label": "longsleee", "confidence": 3.4848127365112305}, {"label": "dress", "confidence": 2.3854408264160156}, {"label": "shirt", "confidence": -1.1809395551681519}, {"label": "shorts", "confidence": -2.108891248703003}, {"label": "shoes", "confidence": -3.061194658279419}, {"label": "hat", "confidence": -3.9095823764801025}, {"label": "outwear", "confidence": -4.6832733154296875}, {"label": "pants", "confidence": -5.055410861968994}, {"label": "skirt", "confidence": -5.316753387451172}]}

requirements.txt

@@ -1,3 +1,3 @@
 gradio==3.39.0
 numpy==1.23.3
-tensorflow==2.9.1
+#tensorflow==2.9.1