Upgrade pillow to 8.1.0

models/mli/ga2m/model_ga2m.py

@@ -19,7 +19,7 @@ class GA2MModel(CustomModel):
         "Intelligible models for healthcare: Predicting pneumonia risk and hospital 30-day readmission."
         "In Proceedings of the 21th ACM SIGKDD international conference on knowledge discovery and data mining (pp. 1721-1730)."
     )
-    _modules_needed_by_name = ['Pillow==5.4.1', "interpret==0.1.20"]
+    _modules_needed_by_name = ['Pillow==8.1.0', "interpret==0.1.20"]
 
     @staticmethod
     def do_acceptance_test():

transformers/image/image_ocr_transformer.py

@@ -5,7 +5,7 @@
 
 
 class ImageOCRTextTransformer(CustomTransformer):
-    _modules_needed_by_name = ['Pillow==5.4.1', "pytesseract==0.3.0"]
+    _modules_needed_by_name = ['Pillow==8.1.0', "pytesseract==0.3.0"]
     _parallel_task = True  # if enabled, params_base['n_jobs'] will be >= 1 (adaptive to system), otherwise 1
     _can_use_gpu = True  # if enabled, will use special job scheduler for GPUs
     _can_use_multi_gpu = True  # if enabled, can get access to multiple GPUs for single transformer (experimental)

transformers/image/image_url_transformer.py

@@ -14,7 +14,7 @@
 class MyImgTransformer(CustomTransformer, TensorFlowModel):
     # Need Pillow before nlp imports keras, else when here too late.
     # I.e. wasn't enough to put keras imports inside fit/transform to delay after Pillow installed
-    _modules_needed_by_name = ['Pillow==5.4.1']
+    _modules_needed_by_name = ['Pillow==8.1.0']
     _tensorflow = True
     _parallel_task = True  # assumes will use n_jobs in params_base
     _can_use_gpu = True