Extractor.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "7940696e",
   "metadata": {},
   "source": [
    "# Extração de features e organização em tabela"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5e913a99",
   "metadata": {},
   "source": [
    "ResNet-50 é um modelo de rede neural convolucional (CNN) profunda e pré-treinado desenvolvido pela Microsoft Research Asia para classificação de imagens. \"ResNet\" significa \"rede residual\", e o número \"50\" se refere ao número de camadas da rede.\n",
    "\n",
    "O ResNet-50 tem sido amplamente utilizado em tarefas de classificação de imagens em diversos domínios, incluindo visão computacional, reconhecimento de objetos e reconhecimento de faces.\n",
    "\n",
    "Um dos objetivos deste notebook é demonstrar a utilização da rede ResNet50 para garantir, entre outras coisas, um treinamento rápido de um modelo de IA, assim como diminuir consideravelmente a necessidade de recursos computacionais.\n",
    "\n",
    "Aqui extraímos as features de imagens utilizando Resnet50 de múltiplos datasets: "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "99de941b",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "2023-08-08 16:01:54.933903: I tensorflow/core/platform/cpu_feature_guard.cc:182] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations.\n",
      "To enable the following instructions: FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags.\n",
      "2023-08-08 16:01:56.341651: I tensorflow/compiler/xla/stream_executor/cuda/cuda_gpu_executor.cc:995] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero. See more at https://github.com/torvalds/linux/blob/v6.0/Documentation/ABI/testing/sysfs-bus-pci#L344-L355\n",
      "2023-08-08 16:01:56.575402: I tensorflow/compiler/xla/stream_executor/cuda/cuda_gpu_executor.cc:995] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero. See more at https://github.com/torvalds/linux/blob/v6.0/Documentation/ABI/testing/sysfs-bus-pci#L344-L355\n",
      "2023-08-08 16:01:56.576080: I tensorflow/compiler/xla/stream_executor/cuda/cuda_gpu_executor.cc:995] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero. See more at https://github.com/torvalds/linux/blob/v6.0/Documentation/ABI/testing/sysfs-bus-pci#L344-L355\n",
      "2023-08-08 16:01:56.581899: I tensorflow/compiler/xla/stream_executor/cuda/cuda_gpu_executor.cc:995] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero. See more at https://github.com/torvalds/linux/blob/v6.0/Documentation/ABI/testing/sysfs-bus-pci#L344-L355\n",
      "2023-08-08 16:01:56.582825: I tensorflow/compiler/xla/stream_executor/cuda/cuda_gpu_executor.cc:995] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero. See more at https://github.com/torvalds/linux/blob/v6.0/Documentation/ABI/testing/sysfs-bus-pci#L344-L355\n",
      "2023-08-08 16:01:56.583176: I tensorflow/compiler/xla/stream_executor/cuda/cuda_gpu_executor.cc:995] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero. See more at https://github.com/torvalds/linux/blob/v6.0/Documentation/ABI/testing/sysfs-bus-pci#L344-L355\n",
      "2023-08-08 16:01:56.680338: I tensorflow/compiler/xla/stream_executor/cuda/cuda_gpu_executor.cc:995] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero. See more at https://github.com/torvalds/linux/blob/v6.0/Documentation/ABI/testing/sysfs-bus-pci#L344-L355\n",
      "2023-08-08 16:01:56.680935: I tensorflow/compiler/xla/stream_executor/cuda/cuda_gpu_executor.cc:995] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero. See more at https://github.com/torvalds/linux/blob/v6.0/Documentation/ABI/testing/sysfs-bus-pci#L344-L355\n",
      "2023-08-08 16:01:56.681046: I tensorflow/compiler/xla/stream_executor/cuda/cuda_gpu_executor.cc:995] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero. See more at https://github.com/torvalds/linux/blob/v6.0/Documentation/ABI/testing/sysfs-bus-pci#L344-L355\n",
      "2023-08-08 16:01:56.681136: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1639] Created device /job:localhost/replica:0/task:0/device:GPU:0 with 6426 MB memory:  -> device: 0, name: NVIDIA GeForce RTX 2060 SUPER, pci bus id: 0000:01:00.0, compute capability: 7.5\n",
      "2023-08-08 16:01:56.681363: I tensorflow/core/common_runtime/process_util.cc:146] Creating new thread pool with default inter op setting: 2. Tune using inter_op_parallelism_threads for best performance.\n",
      "2023-08-08 16:01:59.257585: I tensorflow/compiler/xla/stream_executor/cuda/cuda_dnn.cc:432] Loaded cuDNN version 8902\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
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     ]
    }
   ],
   "source": [
    "import feature_extractor"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "d6a06d63",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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