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path: root/recipes-support/opencv/opencv/0001-Add-smaller-version-of-download_models.py.patch
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From fca4d9eec289f22c081daa2c61a1110e3f268f92 Mon Sep 17 00:00:00 2001
From: Tom Hochstein <tom.hochstein@nxp.com>
Date: Tue, 1 Sep 2020 14:57:07 -0500
Subject: [PATCH] Add smaller version of download_models.py

Signed-off-by: Tom Hochstein <tom.hochstein@nxp.com>
---
 testdata/dnn/download_models_basic.py | 159 ++++++++++++++++++++++++++
 1 file changed, 159 insertions(+)
 create mode 100644 testdata/dnn/download_models_basic.py

diff --git a/testdata/dnn/download_models_basic.py b/testdata/dnn/download_models_basic.py
new file mode 100644
index 0000000..5c8a616
--- /dev/null
+++ b/testdata/dnn/download_models_basic.py
@@ -0,0 +1,159 @@
+#!/usr/bin/env python
+
+from __future__ import print_function
+import hashlib
+import sys
+import tarfile
+if sys.version_info[0] < 3:
+    from urllib2 import urlopen
+else:
+    from urllib.request import urlopen
+
+
+class Model:
+    MB = 1024*1024
+    BUFSIZE = 10*MB
+
+    def __init__(self, **kwargs):
+        self.name = kwargs.pop('name')
+        self.url = kwargs.pop('url', None)
+        self.filename = kwargs.pop('filename')
+        self.sha = kwargs.pop('sha', None)
+        self.archive = kwargs.pop('archive', None)
+        self.member = kwargs.pop('member', None)
+
+    def __str__(self):
+        return 'Model <{}>'.format(self.name)
+
+    def printRequest(self, r):
+        def getMB(r):
+            d = dict(r.info())
+            for c in ['content-length', 'Content-Length']:
+                if c in d:
+                    return int(d[c]) / self.MB
+            return '<unknown>'
+        print('  {} {} [{} Mb]'.format(r.getcode(), r.msg, getMB(r)))
+
+    def verify(self):
+        if not self.sha:
+            return False
+        print('  expect {}'.format(self.sha))
+        sha = hashlib.sha1()
+        try:
+            with open(self.filename, 'rb') as f:
+                while True:
+                    buf = f.read(self.BUFSIZE)
+                    if not buf:
+                        break
+                    sha.update(buf)
+            print('  actual {}'.format(sha.hexdigest()))
+            return self.sha == sha.hexdigest()
+        except Exception as e:
+            print('  catch {}'.format(e))
+
+    def get(self):
+        if self.verify():
+            print('  hash match - skipping')
+            return True
+
+        if self.archive or self.member:
+            assert(self.archive and self.member)
+            print('  hash check failed - extracting')
+            print('  get {}'.format(self.member))
+            self.extract()
+        else:
+            assert(self.url)
+            print('  hash check failed - downloading')
+            print('  get {}'.format(self.url))
+            self.download()
+
+        print(' done')
+        print(' file {}'.format(self.filename))
+        return self.verify()
+
+    def download(self):
+        try:
+            r = urlopen(self.url, timeout=60)
+            self.printRequest(r)
+            self.save(r)
+        except Exception as e:
+            print('  catch {}'.format(e))
+
+    def extract(self):
+        try:
+            with tarfile.open(self.archive) as f:
+                assert self.member in f.getnames()
+                self.save(f.extractfile(self.member))
+        except Exception as e:
+            print('  catch {}'.format(e))
+
+    def save(self, r):
+        with open(self.filename, 'wb') as f:
+            print('  progress ', end='')
+            sys.stdout.flush()
+            while True:
+                buf = r.read(self.BUFSIZE)
+                if not buf:
+                    break
+                f.write(buf)
+                print('>', end='')
+                sys.stdout.flush()
+
+models = [
+    Model(
+        name='Fcn',
+        url='http://dl.caffe.berkeleyvision.org/fcn8s-heavy-pascal.caffemodel',
+        sha='c449ea74dd7d83751d1357d6a8c323fcf4038962',
+        filename='fcn8s-heavy-pascal.caffemodel'),
+    Model(
+        name='SqueezeNet_v1.1',
+        url='https://raw.githubusercontent.com/DeepScale/SqueezeNet/b5c3f1a23713c8b3fd7b801d229f6b04c64374a5/SqueezeNet_v1.1/squeezenet_v1.1.caffemodel',
+        sha='3397f026368a45ae236403ccc81cfcbe8ebe1bd0',
+        filename='squeezenet_v1.1.caffemodel'),
+    Model(
+        name='Colorization',
+        url='https://raw.githubusercontent.com/richzhang/colorization/master/models/colorization_deploy_v2.prototxt',
+        sha='f528334e386a69cbaaf237a7611d833bef8e5219',
+        filename='colorization_deploy_v2.prototxt'),
+    Model(
+        name='Colorization',
+        url='http://eecs.berkeley.edu/~rich.zhang/projects/2016_colorization/files/demo_v2/colorization_release_v2.caffemodel',
+        sha='21e61293a3fa6747308171c11b6dd18a68a26e7f',
+        filename='colorization_release_v2.caffemodel'),
+    Model(
+        name='OpenPose/pose/coco',  # https://github.com/CMU-Perceptual-Computing-Lab/openpose
+        url='http://posefs1.perception.cs.cmu.edu/OpenPose/models/pose/coco/pose_iter_440000.caffemodel',
+        sha='ac7e97da66f3ab8169af2e601384c144e23a95c1',
+        filename='openpose_pose_coco.caffemodel'),
+    Model(
+        name='YOLOv3',  # https://pjreddie.com/darknet/yolo/
+        url='https://pjreddie.com/media/files/yolov3.weights',
+        sha='520878f12e97cf820529daea502acca380f1cb8e',
+        filename='yolov3.weights'),
+    Model(
+        name='EAST',  # https://github.com/argman/EAST (a TensorFlow model), https://arxiv.org/abs/1704.03155v2 (a paper)
+        url='https://www.dropbox.com/s/r2ingd0l3zt8hxs/frozen_east_text_detection.tar.gz?dl=1',
+        sha='3ca8233d6edd748f7ed23246c8ca24cbf696bb94',
+        filename='frozen_east_text_detection.tar.gz'),
+    Model(
+        name='EAST',
+        archive='frozen_east_text_detection.tar.gz',
+        member='frozen_east_text_detection.pb',
+        sha='fffabf5ac36f37bddf68e34e84b45f5c4247ed06',
+        filename='frozen_east_text_detection.pb'),
+]
+
+# Note: models will be downloaded to current working directory
+#       expected working directory is opencv_extra/testdata/dnn
+if __name__ == '__main__':
+    failedModels = []
+    for m in models:
+        print(m)
+        if not m.get():
+            failedModels.append(m.filename)
+
+    if failedModels:
+        print("Following models have not been downloaded:")
+        for f in failedModels:
+            print("* {}".format(f))
+        exit(15)
-- 
2.17.1