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gauthambalraj07@gmail.com
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Browse files- test.ipynb +4 -4
- utils.py +1 -1
test.ipynb
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@@ -2,7 +2,7 @@
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"cells": [
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{
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"cell_type": "code",
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"execution_count":
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"metadata": {},
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"outputs": [
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{
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@@ -11,8 +11,8 @@
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"text": [
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"Processing imscdr_ac_in___8.png...\n",
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"Status Code: 500\n",
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"Response Text: {\"detail\":\"
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"Finished processing imscdr_ac_in___8.png in 10.
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"Processing imscdr_ac_in___9.png...\n",
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"Status Code: 500\n",
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"Response Text: <!DOCTYPE html>\n",
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@@ -124,7 +124,7 @@
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"</body>\n",
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"</html>\n",
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"\n",
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"Finished processing imscdr_ac_in___9.png in 11.
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"{}\n"
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]
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}
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"cells": [
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{
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"cell_type": "code",
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"execution_count": 2,
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"metadata": {},
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"outputs": [
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{
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"text": [
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"Processing imscdr_ac_in___8.png...\n",
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"Status Code: 500\n",
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"Response Text: {\"detail\":\"conv2d() received an invalid combination of arguments - got (str, Parameter, NoneType, tuple, tuple, tuple, int), but expected one of:\\n * (Tensor input, Tensor weight, Tensor bias, tuple of ints stride, tuple of ints padding, tuple of ints dilation, int groups)\\n didn't match because some of the arguments have invalid types: (!str!, !Parameter!, !NoneType!, !tuple of (int, int)!, !tuple of (int, int)!, !tuple of (int, int)!, int)\\n * (Tensor input, Tensor weight, Tensor bias, tuple of ints stride, str padding, tuple of ints dilation, int groups)\\n didn't match because some of the arguments have invalid types: (!str!, !Parameter!, !NoneType!, !tuple of (int, int)!, !tuple of (int, int)!, !tuple of (int, int)!, int)\\n\"}\n",
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"Finished processing imscdr_ac_in___8.png in 10.38 seconds\n",
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"Processing imscdr_ac_in___9.png...\n",
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"Status Code: 500\n",
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"Response Text: <!DOCTYPE html>\n",
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"</body>\n",
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"</html>\n",
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"\n",
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"Finished processing imscdr_ac_in___9.png in 11.36 seconds\n",
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"{}\n"
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]
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}
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utils.py
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@@ -385,7 +385,7 @@ def predict_yolo(model, image_path, box_threshold, imgsz, scale_img, iou_thresho
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}
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if scale_img:
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kwargs['imgsz'] = imgsz
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result = model(image_path )
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boxes = result[0].boxes.xyxy#.tolist() # in pixel space
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conf = result[0].boxes.conf
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phrases = [str(i) for i in range(len(boxes))]
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}
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if scale_img:
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kwargs['imgsz'] = imgsz
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result = model(image_path, **kwargs)
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boxes = result[0].boxes.xyxy#.tolist() # in pixel space
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conf = result[0].boxes.conf
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phrases = [str(i) for i in range(len(boxes))]
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