{ "cells": [ { "cell_type": "markdown", "metadata": { "id": "yMq0LIOSqLsx" }, "source": [ "### Flickr30\n" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "import torch\n", "import pickle\n", "import matplotlib.pyplot as plt\n", "import pandas as pd\n", "from data_utils import Flickr30\n", "%matplotlib inline" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "Flickr30_image_path = 'ImgCap/data/Flickr30/imges'\n", "Flickr30_labels_path = 'ImgCap/data/Flickr30/results.csv'\n", "\n", "# with open(\"ImgCap/vocab.pkl\", 'rb') as f:\n", "# vocab = pickle.load(f)\n", "\n", "Flickr30_DataSet = Flickr30(Flickr30_image_path, Flickr30_labels_path)" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "examble = \"Hello my name is sherif ahemd and I can fly.\"\n", "tokens = Flickr30_DataSet.encoder(examble)\n", "tokens" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "len(tokens), len(examble)" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "Flickr30_DataSet.decoder(tokens)" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "Flickr30_DataSet.vocab.get_itos()[1023]" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "Flickr30_DataSet.vocab.get_stoi()[' girl']" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "len(Flickr30_DataSet.vocab)" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "fig, ax = plt.subplots(2, 2, figsize=(40, 20)) \n", "samples = torch.randint(len(Flickr30_DataSet), (4, )) \n", "\n", "for i , idx in enumerate(samples.tolist()):\n", " i, j = i//2 , i%2\n", " ax[i][j].imshow(Flickr30_DataSet[idx][0])\n", " caption = Flickr30_DataSet.decoder(Flickr30_DataSet[idx][1])\n", " ax[i][j].set_title(caption)\n", "fig.show()" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "from eval_utils import eval_bleu_score , eval_CIDEr" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "references = [\"this is a test\", \"this is another test\"]\n", "candidates = [\"this is a test\", \"this is another test\"]\n", "\n", "eval_bleu_score(references=references, candidates=candidates)" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "references = [\"this is a test\", \"this is another test\"]\n", "candidates = [\"this is a test\", \"this is another test\"]\n", "\n", "vg_score, scores = eval_CIDEr(references=references, candidates=candidates)\n", "vg_score" ] } ], "metadata": { "colab": { "provenance": [] }, 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