chinna vemareddy commited on
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caeb795
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  1. README.md +4 -0
  2. notebooks/02_evaluation.ipynb +2 -2
README.md CHANGED
@@ -176,6 +176,10 @@ DOCVISION_IQ/
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  β”œβ”€β”€ frontend/
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  β”‚ └── app.py
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  β”‚
 
 
 
 
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  β”œβ”€β”€ src/
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  β”‚ β”œβ”€β”€ config.py
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  β”‚ β”œβ”€β”€ main.py
 
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  β”œβ”€β”€ frontend/
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  β”‚ └── app.py
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  β”‚
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+ β”œβ”€β”€ notebooks/
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+ β”‚ β”œβ”€β”€ 01_exploration.ipynb
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+ β”‚ └── 02_evalution.ipynb
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+ β”‚
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  β”œβ”€β”€ src/
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  β”‚ β”œβ”€β”€ config.py
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  β”‚ β”œβ”€β”€ main.py
notebooks/02_evaluation.ipynb CHANGED
@@ -78,7 +78,7 @@
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  },
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  {
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  "cell_type": "code",
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- "execution_count": 13,
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  "id": "c94ff0d5",
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  "metadata": {},
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  "outputs": [],
@@ -101,7 +101,7 @@
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  " \"latency_sec\": latency,\n",
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  " }\n",
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  "\n",
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- " # βœ… CORRECT Aadhaar rule\n",
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  " if result[\"document_type\"] == \"aadhaar_card\":\n",
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  " checks[\"aadhaar_rule_passed\"] = bool(\n",
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  " re.search(r\"\\b\\d{12}\\b\", ocr_text) or \"UIDAI\" in ocr_text.upper()\n",
 
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  },
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  {
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  "cell_type": "code",
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+ "execution_count": null,
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  "id": "c94ff0d5",
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  "metadata": {},
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  "outputs": [],
 
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  " \"latency_sec\": latency,\n",
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  " }\n",
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  "\n",
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+ "\n",
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  " if result[\"document_type\"] == \"aadhaar_card\":\n",
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  " checks[\"aadhaar_rule_passed\"] = bool(\n",
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  " re.search(r\"\\b\\d{12}\\b\", ocr_text) or \"UIDAI\" in ocr_text.upper()\n",