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{
"cells": [
{
"cell_type": "code",
"execution_count": null,
"id": "initial_id",
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"# Load Image to Text model\n",
"from transformers import AutoProcessor, AutoModelForCausalLM\n",
"import requests\n",
"\n",
"image_processor = AutoProcessor.from_pretrained(\"microsoft/git-base\")\n",
"image_to_text_model = AutoModelForCausalLM.from_pretrained(\"microsoft/git-base\")"
]
},
{
"metadata": {},
"cell_type": "code",
"outputs": [],
"execution_count": null,
"source": [
"# Load Translation model\n",
"from transformers import AutoTokenizer, AutoModelForSeq2SeqLM\n",
"\n",
"tokenizer = AutoTokenizer.from_pretrained(\"google-t5/t5-small\")\n",
"model = AutoModelForSeq2SeqLM.from_pretrained(\"google-t5/t5-small\")"
],
"id": "be52bb44374be3a1"
},
{
"metadata": {},
"cell_type": "code",
"outputs": [],
"execution_count": null,
"source": [
"def generate_caption(image):\n",
" pixel_values = image_processor(images=image, return_tensors=\"pt\").pixel_values\n",
" generated_ids = image_to_text_model.generate(pixel_values=pixel_values, max_length=200)\n",
" generated_caption = image_processor.batch_decode(generated_ids, skip_special_tokens=True)[0]\n",
"\n",
" return generated_caption"
],
"id": "eb994d7ef0dc73f6"
},
{
"metadata": {},
"cell_type": "code",
"outputs": [],
"execution_count": null,
"source": [
"def translate(text):\n",
" inputs = tokenizer(text, return_tensors='pt')\n",
" input_ids = inputs.input_ids\n",
" attention_mask = inputs.attention_mask\n",
"\n",
" try:\n",
" input_ids = input_ids.to('cuda')\n",
" attention_mask = attention_mask.to('cuda')\n",
" model = translation_model.to(\"cuda\")\n",
" except:\n",
" print('No NVidia GPU, model performance may not be as good')\n",
" model = translation_model\n",
"\n",
" output = model.generate(input_ids, attention_mask=attention_mask, forced_bos_token_id=tokenizer.lang_code_to_id['pt_XX'])\n",
" translated = tokenizer.decode(output[0], skip_special_tokens=True)\n",
"\n",
" return translated"
],
"id": "f9742a337b32cc1"
},
{
"metadata": {},
"cell_type": "code",
"outputs": [],
"execution_count": null,
"source": [
"# Carregamento de imagens locais\n",
"import sys\n",
"import cv2\n",
"from PIL import Image\n",
"\n",
"img_url = 'http://images.cocodataset.org/val2017/000000039769.jpg'\n",
"# img_url = 'https://farm4.staticflickr.com/3733/9000662079_ce3599d0d8_z.jpg'\n",
"# img_url = 'https://farm4.staticflickr.com/3088/5793281956_2a15b2559c_z.jpg'\n",
"# img_url = 'https://farm5.staticflickr.com/4073/4816939054_844feb0078_z.jpg'\n",
"\n",
"image = Image.open(requests.get(img_url, stream=True).raw)"
],
"id": "97f3e60bca81b195"
},
{
"metadata": {},
"cell_type": "code",
"outputs": [],
"execution_count": null,
"source": [
"caption = generate_caption(image)\n",
"\n",
"print(caption)"
],
"id": "1a4c1ed0fc31fd60"
},
{
"metadata": {},
"cell_type": "code",
"outputs": [],
"execution_count": null,
"source": [
"translated_caption = translate(caption)\n",
"\n",
"print(translated_caption)"
],
"id": "a4d4f92f2c0b3922"
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 2
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython2",
"version": "2.7.6"
}
},
"nbformat": 4,
"nbformat_minor": 5
}
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