From aeb51357461a2d7685770dd5b048f018c2baaa3c Mon Sep 17 00:00:00 2001 From: Dan Howe Date: Wed, 10 Jul 2019 09:05:16 +1000 Subject: [PATCH] Add ocr --- ocr/README.md | 32 ++++++++++++++++++++++++++++++++ ocr/image-dates.csv | 13 +++++++++++++ ocr/jpg/0000-SYCR0314.jpg | Bin 0 -> 717773 bytes ocr/jpg/0000-SYCR0315.jpg | Bin 0 -> 969272 bytes ocr/swift_ocr.py | 32 ++++++++++++++++++++++++++++++++ 5 files changed, 77 insertions(+) create mode 100644 ocr/README.md create mode 100644 ocr/image-dates.csv create mode 100644 ocr/jpg/0000-SYCR0314.jpg create mode 100644 ocr/jpg/0000-SYCR0315.jpg create mode 100644 ocr/swift_ocr.py diff --git a/ocr/README.md b/ocr/README.md new file mode 100644 index 0000000..9e6c1f6 --- /dev/null +++ b/ocr/README.md @@ -0,0 +1,32 @@ +"""Get image timestamps from Swift camera""" + +import os +from glob import glob +from datetime import datetime +from tqdm import tqdm +from PIL import Image +import pandas as pd +import pytesseract + +input_dir = 'jpg' + +jpg_names = glob(os.path.join(input_dir, '*.jpg')) +dates = [] + +for jpg_name in tqdm(jpg_names): + im = Image.open(jpg_name) + + # Crop image + w, h = im.size + im = im.crop((w - 550, h - 40, w, h)) + + # Perform OCR with tesseract + text = pytesseract.image_to_string(im, lang='eng') + + # Convert to datetime object + dates.append(datetime.strptime(text, '%d/%m/%Y %H:%M:%S')) + +# Save as csv +df = pd.DataFrame(data=dates, index=jpg_names, columns=['date']) +df.index.name = 'file' +df.to_csv('image-dates.csv') diff --git a/ocr/image-dates.csv b/ocr/image-dates.csv new file mode 100644 index 0000000..09f95b2 --- /dev/null +++ b/ocr/image-dates.csv @@ -0,0 +1,13 @@ +file,date +jpg\0000-SYCR0314.jpg,2019-04-25 07:00:02 +jpg\0000-SYCR0315.jpg,2019-04-25 08:00:02 +jpg\0000-SYCR0316.jpg,2019-04-25 09:00:02 +jpg\0000-SYCR0317.jpg,2019-04-25 10:00:02 +jpg\0000-SYCR0318.jpg,2019-04-25 11:00:02 +jpg\0000-SYCR0319.jpg,2019-04-25 12:00:01 +jpg\0000-SYCR0320.jpg,2019-04-25 13:00:01 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