{ "cells": [ { "cell_type": "code", "execution_count": 10, "metadata": {}, "outputs": [], "source": [ "from fastai.vision.all import *\n", "from pathlib import Path" ] }, { "cell_type": "code", "execution_count": 12, "metadata": {}, "outputs": [], "source": [ "learn = load_learner('model.pkl')" ] }, { "cell_type": "code", "execution_count": 24, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "30" ] }, "execution_count": 24, "metadata": {}, "output_type": "execute_result" } ], "source": [ "list(learn.dls.vocab).index('Emma Watson')" ] }, { "cell_type": "code", "execution_count": 60, "metadata": {}, "outputs": [ { "data": { "text/html": [ "\n", "\n" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/plain": [ "{'Emma Watson': tensor(0.9943),\n", " 'Kate Beckinsale': tensor(0.0028),\n", " 'Natalie Portman': tensor(0.0007),\n", " 'Keira Knightley': tensor(0.0005),\n", " 'Jessica Alba': tensor(0.0003)}" ] }, "execution_count": 60, "metadata": {}, "output_type": "execute_result" } ], "source": [ "results = dict(zip(list(learn.dls.vocab),learn.predict('emma_watson.jpg')[2]))\n", "best_results = sorted(A, key=A.get, reverse=True)[:5]\n", "probabilities = {key: A[key] for key in best_results}\n", "probabilities" ] }, { "cell_type": "code", "execution_count": 46, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "\u001b[0;31mDocstring:\u001b[0m\n", "max(dim=None, keepdim=False) -> Tensor or (Tensor, Tensor)\n", "\n", "See :func:`torch.max`\n", "\u001b[0;31mType:\u001b[0m builtin_function_or_method" ] } ], "source": [ "?pred.max" ] }, { "cell_type": "code", "execution_count": 19, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "3" ] }, "execution_count": 19, "metadata": {}, "output_type": "execute_result" } ], "source": [ "celeb_list.index('Emma Watson')" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] } ], "metadata": { "kernelspec": { "display_name": "fastai-env", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.11.5" }, "orig_nbformat": 4 }, "nbformat": 4, "nbformat_minor": 2 }