Merge branch 'master' of github.com:adamhrv/vframe_check_api

6 files changed, 580 insertions, 5 deletions

diff --git a/check/app/utils/file_utils.py b/check/app/utils/file_utils.py
index 5c7b39d..1ed1833 100644
--- a/check/app/utils/file_utils.py
+++ b/check/app/utils/file_utils.py
@@ -310,6 +310,25 @@ def mkdirs(fp):
   fpp = fpp.parent if fpp.suffix else fpp
   fpp.mkdir(parents=True, exist_ok=True)
 
+def ensure_posixpath(fp):
+  """Ensures filepath is pathlib.Path
+  :param fp: a (str, LazyFile, PosixPath)
+  :returns: a PosixPath filepath object
+  """
+  if type(fp) == str:
+    fpp = Path(fp)
+  elif type(fp) == click.utils.LazyFile:
+    fpp = Path(fp.name)
+  elif type(fp) == pathlib.PosixPath:
+    fpp = fp
+  else:
+    raise TypeError('{} is not a valid filepath type'.format(type(fp)))
+  return fpp
+
+def ensure_dir(fp):
+  if not Path(fp).is_dir():
+    mkdirs(fp)
+
 
 def ext_media_format(ext):
   """Converts file extension into Enum MediaType
diff --git a/check/app/utils/im_utils.py b/check/app/utils/im_utils.py
index 747e900..1d1affb 100644
--- a/check/app/utils/im_utils.py
+++ b/check/app/utils/im_utils.py
@@ -11,12 +11,7 @@ from skimage import feature
 import imutils
 import time
 import numpy as np
-import torch
-import torch.nn as nn
-import torchvision.models as models
-import torchvision.transforms as transforms
 import struct
-from torch.autograd import Variable
 from sklearn.metrics.pairwise import cosine_similarity
 import datetime
 
diff --git a/check/commands/phash/report.py b/check/commands/phash/report.py
new file mode 100644
index 0000000..362480d
--- /dev/null
+++ b/check/commands/phash/report.py
@@ -0,0 +1,101 @@
+"""
+Generate a test report from a directory of images
+This demo does not use SQL storage
+
+"""
+
+from pathlib import Path
+
+import click
+
+@click.command('')
+@click.option('-i', '--input', 'opt_fp_in', required=True,
+  help='Path to input dir')
+@click.option('-o', '--output', 'opt_fp_out', required=True,
+  help='Path to output directory')
+@click.option('--recursive', 'opt_recursive', is_flag=True,
+  help='Recursive globbing')
+@click.option('-t', '--thresh', 'opt_thresh', default=3,
+  help='Perceptual hash threshold')
+@click.option('--slice', 'opt_slice', type=(int, int), default=(None, None))
+@click.pass_context
+def cli(ctx, opt_fp_in, opt_fp_out, opt_recursive, opt_thresh, opt_slice):
+  """Deduplicate images"""
+
+  # ------------------------------------------------
+  # imports
+  import sys
+  from os.path import join
+  from glob import glob
+
+  import pandas as pd
+  from tqdm import tqdm
+  import numpy as np
+  import cv2 as cv
+  import imagehash
+
+  from app.utils import logger_utils, im_utils, file_utils
+  
+  log = logger_utils.Logger.getLogger()
+  log.info(f'De-duplicating: {opt_fp_in}')
+
+  # get list of all images
+  fp_ims = glob(join(opt_fp_in, '*'))
+  print(len(fp_ims))
+  exts = ['.jpg', '.png', '.jpeg']
+  fp_ims = [x for x in fp_ims if Path(x).suffix in exts]
+  if opt_slice:
+    fp_ims = fp_ims[opt_slice[0]:opt_slice[1]]
+
+  log.info(f'Processing {len(fp_ims):,} images')
+
+  # Create image meta objects
+  ims_meta = {}
+  log.info('Computing sha256 and perceptual hashes...')
+  for fp_im in tqdm(fp_ims):
+    sha256 = file_utils.sha256(fp_im)
+    im = cv.imread(fp_im)
+    im_hash = im_utils.compute_phash(im) # uses PIL
+    ims_meta[sha256] = {
+      'imhash': im_hash,
+      'filepath': fp_im,
+      'fname': Path(fp_im).name,
+      'sha256': sha256,
+      'duplicate': None,
+      }
+
+  # Deduplicate the list of images
+  log.info('Deduplicating images...')
+  duplicates = []
+  for sha256_a, im_obj_a in tqdm(ims_meta.copy().items()):  
+    for sha256_b, im_obj_b in ims_meta.copy().items():
+      if sha256_a == sha256_b:
+        continue
+      d = abs(im_obj_a['imhash'] - im_obj_b['imhash'])
+      if d <= opt_thresh:
+        # mark B as a duplicate of A
+        ims_meta[sha256_b]['duplicate'] = sha256_a
+        duplicates.append({'sha256_a': sha256_a, 'fname_a': im_obj_a['fname'], 
+          'sha256_b': sha256_b, 'fname_b': im_obj_b['fname'], 'score': d})
+        ims_meta.pop(sha256_b)
+
+  n_dupes = sum(1 for k,v in ims_meta.items() if v['duplicate'] is not None) 
+  log.info(f'Found {n_dupes}')
+
+
+  #im_list = [v for k,v in ims_meta.items()] # dict to list of dicts
+  df_items = pd.DataFrame.from_dict(duplicates)
+  #df_items.drop(['imhash', 'filepath'], axis=1, inplace=True)
+  file_utils.ensure_dir(opt_fp_out)
+  log.info(f'Writing: {opt_fp_out}')
+  df_items.to_csv(opt_fp_out, index=False)
+
+  # generate HTML
+  # copy images to another directory
+  # import shutil
+  # file_utils.ensure_dir(opt_fp_dir_copyto)
+  # for sha256, im_meta in ims_meta.items():
+  #   src = im_meta['filepath']
+  #   dst = join(opt_fp_dir_copyto, f'{sha256}.jpg')
+  #   # dst = join(opt_fp_dir_copyto, f"{im_meta['fname']}")
+  #   shutil.copy(src, dst)
\ No newline at end of file
diff --git a/check/commands/phash/report_html.py b/check/commands/phash/report_html.py
new file mode 100644
index 0000000..61a8b48
--- /dev/null
+++ b/check/commands/phash/report_html.py
@@ -0,0 +1,80 @@
+"""
+Generate a test report from a directory of images
+This demo does not use SQL storage
+
+"""
+
+from pathlib import Path
+
+import click
+
+@click.command('')
+@click.option('--csv', 'opt_fp_in_csv', required=True,
+  help='Path to input CSV')
+@click.option('--images', 'opt_fp_in_img', required=True,
+  help='Path to images')
+@click.option('-o', '--output', 'opt_fp_out_dir', type=click.Path(file_okay=False, dir_okay=True),
+  help='Path to output directory')
+@click.pass_context
+def cli(ctx, opt_fp_in_csv, opt_fp_in_img, opt_fp_out_dir):
+  """Generate HTML report"""
+
+  # ------------------------------------------------
+  # imports
+  import sys
+  from os.path import join
+  from glob import glob
+
+  import pandas as pd
+  from tqdm import tqdm
+  import jinja2
+  from flask import url_for
+  import shutil
+
+  from app.utils import logger_utils, im_utils, file_utils
+  
+  log = logger_utils.Logger.getLogger()
+  log.info(f'Generating HTML report from: {opt_fp_in_csv}')
+
+
+  template_loader = jinja2.FileSystemLoader(searchpath="./static/")
+  template_env = jinja2.Environment(loader=template_loader)
+  TEMPLATE_FILE = "perceptual_hash_report.html"
+  template = template_env.get_template(TEMPLATE_FILE)
+
+  # create project output dir
+  fp_out_dir_assets = join(opt_fp_out_dir, 'assets')
+  fp_out_dir_images = join(opt_fp_out_dir, 'images')
+  
+  file_utils.ensure_dir(opt_fp_out_dir)
+  file_utils.ensure_dir(fp_out_dir_assets)
+  file_utils.ensure_dir(fp_out_dir_images)
+  
+  df_dupes = pd.read_csv(opt_fp_in_csv)
+  image_groups = df_dupes.groupby('fname_a')
+
+  log.info(f'Saving HTML report to: {opt_fp_out_dir}')
+  # im_objs = df_dupes.to_records('dict')
+  fp_out_html = join(opt_fp_out_dir, 'index.html')
+  with open(fp_out_html, 'w') as fp:
+    html_text = template.render(image_groups=image_groups, 
+      dir_ims=Path(fp_out_dir_images).name, dir_assets=Path(fp_out_dir_assets).name)
+    fp.write(html_text)
+  
+  # copy css
+  fp_src = 'static/assets/css.css'
+  fp_dst = join(fp_out_dir_assets, Path(fp_src).name)
+  shutil.copy(fp_src, fp_dst)
+
+  # copy images
+  for fname_a, image_group in image_groups:
+    # get image a
+    for df_im in image_group.itertuples():
+      # image a
+      fp_src = join(opt_fp_in_img, df_im.fname_a)
+      fp_dst = join(fp_out_dir_images, df_im.fname_a)
+      shutil.copy(fp_src, fp_dst)
+      # image b
+      fp_src = join(opt_fp_in_img, df_im.fname_b)
+      fp_dst = join(fp_out_dir_images, df_im.fname_b)
+      shutil.copy(fp_src, fp_dst)
\ No newline at end of file
diff --git a/check/static/assets/css.css b/check/static/assets/css.css
new file mode 100755
index 0000000..9e8a59f
--- /dev/null
+++ b/check/static/assets/css.css
@@ -0,0 +1,341 @@
+body {
+  font-family: Helvetica, arial, sans-serif;
+  font-size: 14px;
+  line-height: 1.6;
+  padding-top: 10px;
+  padding-bottom: 10px;
+  background-color: white;
+  padding: 45px; }
+
+body > *:first-child {
+  margin-top: 0 !important; }
+body > *:last-child {
+  margin-bottom: 0 !important; }
+
+a {
+  color: #4183C4; }
+a.absent {
+  color: #cc0000; }
+a.anchor {
+  display: block;
+  padding-left: 30px;
+  margin-left: -30px;
+  cursor: pointer;
+  position: absolute;
+  top: 0;
+  left: 0;
+  bottom: 0; }
+
+h1, h2, h3, h4, h5, h6 {
+  margin: 25px 0 8px;
+  padding: 0;
+  font-weight: bold;
+  -webkit-font-smoothing: antialiased;
+  cursor: text;
+  position: relative; }
+
+h1:hover a.anchor, h2:hover a.anchor, h3:hover a.anchor, h4:hover a.anchor, h5:hover a.anchor, h6:hover a.anchor {
+  background: url(data:image/png;base64,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) no-repeat 10px center;
+  text-decoration: none; }
+
+h1 tt, h1 code {
+  font-size: inherit; }
+
+h2 tt, h2 code {
+  font-size: inherit; }
+
+h3 tt, h3 code {
+  font-size: inherit; }
+
+h4 tt, h4 code {
+  font-size: inherit; }
+
+h5 tt, h5 code {
+  font-size: inherit; }
+
+h6 tt, h6 code {
+  font-size: inherit; }
+
+h1 {
+  font-size: 28px;
+  color: black; }
+
+h2 {
+  font-size: 24px; }
+
+h3 {
+  font-size: 18px; }
+
+h4 {
+  font-size: 16px; }
+
+h5 {
+  font-size: 14px; }
+
+h6 {
+  color: #777777;
+  font-size: 14px; }
+
+p, blockquote, ul, ol, dl, li, table, pre {
+  margin: 15px 0; }
+
+hr {
+  background: transparent url(data:image/png;base64,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) repeat-x 0 0;
+  border: 0 none;
+  color: #cccccc;
+  height: 4px;
+  padding: 0;
+}
+
+body > h2:first-child {
+  margin-top: 0;
+  padding-top: 0; }
+body > h1:first-child {
+  margin-top: 0;
+  padding-top: 0; }
+  body > h1:first-child + h2 {
+    margin-top: 0;
+    padding-top: 0; }
+body > h3:first-child, body > h4:first-child, body > h5:first-child, body > h6:first-child {
+  margin-top: 0;
+  padding-top: 0; }
+
+a:first-child h1, a:first-child h2, a:first-child h3, a:first-child h4, a:first-child h5, a:first-child h6 {
+  margin-top: 0;
+  padding-top: 0; }
+
+h1 p, h2 p, h3 p, h4 p, h5 p, h6 p {
+  margin-top: 0; }
+
+li p.first {
+  display: inline-block; }
+li {
+  margin: 0; }
+ul, ol {
+  padding-left: 30px; }
+
+ul :first-child, ol :first-child {
+  margin-top: 0; }
+
+dl {
+  padding: 0; }
+  dl dt {
+    font-size: 14px;
+    font-weight: bold;
+    font-style: italic;
+    padding: 0;
+    margin: 15px 0 5px; }
+    dl dt:first-child {
+      padding: 0; }
+    dl dt > :first-child {
+      margin-top: 0; }
+    dl dt > :last-child {
+      margin-bottom: 0; }
+  dl dd {
+    margin: 0 0 15px;
+    padding: 0 15px; }
+    dl dd > :first-child {
+      margin-top: 0; }
+    dl dd > :last-child {
+      margin-bottom: 0; }
+
+blockquote {
+  border-left: 4px solid #dddddd;
+  padding: 0 15px;
+  color: #777777; }
+  blockquote > :first-child {
+    margin-top: 0; }
+  blockquote > :last-child {
+    margin-bottom: 0; }
+
+table {
+  font-size:11px;
+  padding: 0;border-collapse: collapse; }
+  table tr {
+    border-top: 1px solid #cccccc;
+    background-color: white;
+    margin: 0;
+    padding: 0; }
+    table tr:nth-child(2n) {
+      background-color: #f8f8f8; }
+    table tr th {
+      font-weight: bold;
+      border: 1px solid #cccccc;
+      margin: 0;
+      padding: 6px 13px; }
+    table tr td {
+      border: 1px solid #cccccc;
+      margin: 0;
+      padding: 6px 13px; }
+    table tr th :first-child, table tr td :first-child {
+      margin-top: 0; }
+    table tr th :last-child, table tr td :last-child {
+      margin-bottom: 0; }
+
+img {
+  max-width: 100%; }
+img + em{
+	font-size:.675rem;
+	color:#999;
+  display: block;
+}
+span.frame {
+  display: block;
+  overflow: hidden; }
+  span.frame > span {
+    border: 1px solid #dddddd;
+    display: block;
+    float: left;
+    overflow: hidden;
+    margin: 13px 0 0;
+    padding: 7px;
+    width: auto; }
+  span.frame span img {
+    display: block;
+    float: left; }
+  span.frame span span {
+    clear: both;
+    color: #333333;
+    display: block;
+    padding: 5px 0 0; }
+span.align-center {
+  display: block;
+  overflow: hidden;
+  clear: both; }
+  span.align-center > span {
+    display: block;
+    overflow: hidden;
+    margin: 13px auto 0;
+    text-align: center; }
+  span.align-center span img {
+    margin: 0 auto;
+    text-align: center; }
+span.align-right {
+  display: block;
+  overflow: hidden;
+  clear: both; }
+  span.align-right > span {
+    display: block;
+    overflow: hidden;
+    margin: 13px 0 0;
+    text-align: right; }
+  span.align-right span img {
+    margin: 0;
+    text-align: right; }
+span.float-left {
+  display: block;
+  margin-right: 13px;
+  overflow: hidden;
+  float: left; }
+  span.float-left span {
+    margin: 13px 0 0; }
+span.float-right {
+  display: block;
+  margin-left: 13px;
+  overflow: hidden;
+  float: right; }
+  span.float-right > span {
+    display: block;
+    overflow: hidden;
+    margin: 13px auto 0;
+    text-align: right; }
+
+code, tt {
+  margin: 0 2px;
+  padding: 0 5px;
+  white-space: nowrap;
+  border: 1px solid #eaeaea;
+  background-color: #f8f8f8;
+  border-radius: 3px; }
+
+pre code {
+  margin: 0;
+  padding: 0;
+  white-space: pre;
+  border: none;
+  background: transparent; }
+
+.highlight pre {
+  background-color: #f8f8f8;
+  border: 1px solid #cccccc;
+  font-size: 13px;
+  line-height: 19px;
+  overflow: auto;
+  padding: 6px 10px;
+  border-radius: 3px; }
+
+pre {
+  background-color: #f8f8f8;
+  border: 1px solid #cccccc;
+  font-size: 13px;
+  line-height: 19px;
+  overflow: auto;
+  padding: 6px 10px;
+  border-radius: 3px; }
+  pre code, pre tt {
+    background-color: transparent;
+    border: none; }
+
+sup {
+    font-size: 0.83em;
+    vertical-align: super;
+    line-height: 0;
+}
+
+kbd {
+  display: inline-block;
+  padding: 3px 5px;
+  font-size: 11px;
+  line-height: 10px;
+  color: #555;
+  vertical-align: middle;
+  background-color: #fcfcfc;
+  border: solid 1px #ccc;
+  border-bottom-color: #bbb;
+  border-radius: 3px;
+  box-shadow: inset 0 -1px 0 #bbb
+}
+
+* {
+	-webkit-print-color-adjust: exact;
+}
+@media screen and (min-width: 914px) {
+    body {
+        width: 854px;
+        margin:0 auto;
+    }
+}
+@media print {
+	table, pre {
+		page-break-inside: avoid;
+	}
+	pre {
+		word-wrap: break-word;
+	}
+}
+.caption{
+  font-size:.83em;
+  color:#999;
+  margin-bottom:10px;
+}
+
+.pagebreak { page-break-inside:avoid; page-break-after:always; }
+
+/* image match results */
+
+.img_match{
+  max-width:300px 
+}
+td.result_txt{
+  vertical-align: top;
+}
+td.result_txt ul{
+  margin-left: 0;
+  padding-left: 0;
+  list-style: none;
+}
+td.result_txt ul li{
+  margin-left:0;
+  padding-bottom: 5px;
+  list-style: none;
+}
\ No newline at end of file
diff --git a/check/static/perceptual_hash_report.html b/check/static/perceptual_hash_report.html
new file mode 100644
index 0000000..566a058
--- /dev/null
+++ b/check/static/perceptual_hash_report.html
@@ -0,0 +1,39 @@
+<html>
+<head>
+  <link rel="stylesheet" href="{{ dir_assets }}/css.css">
+</head>
+<body>
+  
+  <h1>Image Duplicates</h1>
+  
+  {% for fname_a, image_group in image_groups %}
+  <h3>Duplicates for {{ fname_a }}</h3>
+  <table>
+    <tr>
+      <th>Image A</th>
+      <th>Image B</th>
+      <th>Score</th>
+    </tr>
+    {% for df in image_group.itertuples() %}
+    <tr>
+      <td>
+        <img class="img_match img_match_a" src="{{ dir_ims }}/{{ df.fname_a }}" />
+      </td>
+      <td>
+        <img class="img_match img_match_b" src="{{ dir_ims }}/{{ df.fname_b }}" />  
+      </td>
+        
+      <td class="result_txt">
+        <ul>
+          <li>Filename A:</h5> {{ df.fname_a }}</li>
+          <li>Filename B:<br> {{ df.fname_b }}</li>
+          <li>Score: {{ df.score }}</li>
+        </ul>
+      </td>
+    </tr>
+    {% endfor %}
+  </table>
+  {% endfor %}
+
+</body>
+</html>
\ No newline at end of file