refactoring
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@@ -217,48 +217,10 @@
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},
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"outputs": [],
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"source": [
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"modelDAO = ModelDAO(inColab)"
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]
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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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"metadata": {
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"id": "cpxO7yGAMf3z"
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},
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"outputs": [],
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"source": [
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"charNumConverter = CharNumConverter(CaptchaGenerator.characters)"
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]
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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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"metadata": {
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"id": "tVb5nDFTMf3z"
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},
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"outputs": [],
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"source": [
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"predictionsDecoder = PredictionsDecoder(CaptchaGenerator.captchaLength, charNumConverter.num_to_char)"
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]
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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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"metadata": {},
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"outputs": [],
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"source": [
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"captchaShape = CaptchaShape()"
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]
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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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"metadata": {
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"id": "s35OUslsMf30"
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},
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"outputs": [],
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"source": [
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"modelDAO = ModelDAO(inColab)\n",
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"charNumConverter = CharNumConverter(CaptchaGenerator.characters)\n",
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"predictionsDecoder = PredictionsDecoder(CaptchaGenerator.captchaLength, charNumConverter.num_to_char)\n",
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"captchaShape = CaptchaShape()\n",
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"datasetFactory = DatasetFactory(captchaShape, charNumConverter.char_to_num, batch_size = 64)"
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]
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},
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@@ -336,17 +298,6 @@
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" displayImagesInGrid(4, images, predictionsDecoder.asStrings(labels), ['black'] * len(labels))"
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]
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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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"metadata": {
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"id": "V8ELN-qJ3MGe"
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},
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"outputs": [],
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"source": [
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"modelFactory = ModelFactory(captchaShape, charNumConverter.char_to_num)"
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]
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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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@@ -355,6 +306,7 @@
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},
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"outputs": [],
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"source": [
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"modelFactory = ModelFactory(captchaShape, charNumConverter.char_to_num)\n",
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"model = modelFactory.createMobileNetV3Small()\n",
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"model.summary()"
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]
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