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cvnd---image-captioning-project's Introduction

CVND---Image-Captioning-Project

Instructions

  1. Clone this repo: https://github.com/cocodataset/cocoapi
git clone https://github.com/cocodataset/cocoapi.git
  1. Setup the coco API (also described in the readme here)
cd cocoapi/PythonAPI  
make  
cd ..
  1. Download some specific data from here: http://cocodataset.org/#download (described below)

  • Under Annotations, download:

    • 2014 Train/Val annotations [241MB] (extract captions_train2014.json and captions_val2014.json, and place at locations cocoapi/annotations/captions_train2014.json and cocoapi/annotations/captions_val2014.json, respectively)
    • 2014 Testing Image info [1MB] (extract image_info_test2014.json and place at location cocoapi/annotations/image_info_test2014.json)

  • Under Images, download:

    • 2014 Train images [83K/13GB] (extract the train2014 folder and place at location cocoapi/images/train2014/)
    • 2014 Val images [41K/6GB] (extract the val2014 folder and place at location cocoapi/images/val2014/)
    • 2014 Test images [41K/6GB] (extract the test2014 folder and place at location cocoapi/images/test2014/)
  1. The project is structured as a series of Jupyter notebooks that are designed to be completed in sequential order (0_Dataset.ipynb, 1_Preliminaries.ipynb, 2_Training.ipynb, 3_Inference.ipynb).

cvnd---image-captioning-project's People

Contributors

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Watchers

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Forkers

sunsided ykirpichev anand-sonawane yijun-deng ptgamr alan-han harpreetset1 ghicheon paawan01 navid-kalaei tifosi528 deepdriving romainbriche ahaoyu orangetangerine jeff-ruby tylerkirby akudet yangjjie94 royveshovda haderalim xiaohalo xiexu666 nonlining aipachakutiqwan veonua gzupark vidyasrimani johnnyboycurtis sajanbhagat amonick12 kbardool xfqbuaa fatmirboja hep07 l1aoxingyu brunoeducsantos riiduan studian suryakari takam5f2 carreaza jjjjohnson swamydev leechieh yjingyu roachsinai duanzhihua brandon-hy-lin fangqin0703 shihao-wen irvingvasquez laozhuang727 ome-ga sirnader luqifeng sthenc wkshum99 thanakijwanavit aarti9 czyseo buddhone mpiplani adar029 miaochenguo danilobcardoso chaucergit ragu-git bodias egness m-emad oserttas-math da1ssk prashanthag zhengqun y78h11b09 coyoreal fileung cjpan whr0623 mahin884 bonny2016 volfi kenshiro-o kurbakov adarshdwivedi121 pbprateek thiagograbe kripaz777 cxllqhy carinalyn123 kuhnhu gkslsahin akmadnahal kunlin596 amir22010 masayas jaspartang salimoha sonaliw-pointers

cvnd---image-captioning-project's Issues

Image path for model validation

There seems to be a mistake in the step 3 of the training notebook. Image path for validation images is written as '/opt/cocoapi/images/train2014/'. Trying to load images specified in the caption annotation file '/opt/cocoapi/annotations/captions_val2014.json' from that folder results in a not found error. Was it meant to be '/opt/cocoapi/images/val2014/'?

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