Add Open CV back to workflow

Basic Numpy array may not be what datasets.Image expects.

pest-management-opendata.py

@@ -4,6 +4,7 @@ from pathlib import Path
 from dataclasses import dataclass, asdict
 from urllib.parse import urlparse, urlunparse
 
+import cv2
 import boto3
 import numpy as np
 import pandas as pd
@@ -85,6 +86,7 @@ class SplitManager:
 #
 #
 class ExampleManager:
+    _decode_flags = cv2.IMREAD_COLOR | cv2.IMREAD_IGNORE_ORIENTATION
     # _Pest = cl.namedtuple('_Pest', 'label, geometry')
     # _Feature = cl.namedtuple('_Feature', 'image, pests')
 
@@ -108,8 +110,20 @@ class ExampleManager:
                     'geometry': geometry.wkb,
                 }
 
-    @staticmethod
-    def load(url):
+    def __init__(self, payload):
+        self.payload = payload
+
+    def __iter__(self):
+        df = self.payload.to_frame()
+        for (i, g) in df.groupby('url', sort=False):
+            value = {
+                'image': self.load(urlparse(i)),
+                'pests': list(self.pests(g)),
+            }
+
+            yield (i, value)
+
+    def load(self, url):
         path = Path(url.path)
         if path.is_absolute():
             (*_, root) = path.parents
@@ -122,21 +136,9 @@ class ExampleManager:
                 .get()
                 .get('Body')
                 .read())
+        image = np.asarray(bytearray(data))
 
-        return np.asarray(bytearray(data))
-
-    def __init__(self, payload):
-        self.payload = payload
-
-    def __iter__(self):
-        df = self.payload.to_frame()
-        for (i, g) in df.groupby('url', sort=False):
-            value = {
-                'image': self.load(urlparse(i)),
-                'pests': list(self.pests(g)),
-            }
-
-            yield (i, value)
+        return cv2.imdecode(image, self._decode_flags)
 
 #
 #

requirements.txt

@@ -2,5 +2,6 @@ awswrangler
 boto3
 datasets
 numpy
+opencv-python
 pandas
 shapely