fix

main.py

@@ -1,13 +1,13 @@
 import gradio as gr
 from PIL import Image
 
+import sys
 #Set the Working Cloned directory - To find local version of the library
 sys.path.append('/home/user/app/Mask_RCNN') 
 
 import mrcnn.model as modellib
 from mrcnn.config import Config
 import pickle
-import sys
 
 
 def get_predictions_from_mask_rcnn(mask_model, image):

mask_rcnn.egg-info/PKG-INFO

@@ -0,0 +1,30 @@
+Metadata-Version: 2.1
+Name: mask-rcnn
+Version: 2.1
+Summary: Mask R-CNN for object detection and instance segmentation
+Home-page: https://github.com/matterport/Mask_RCNN
+Author: Matterport
+Author-email: waleed.abdulla@gmail.com
+License: MIT
+Keywords: image instance segmentation object detection mask rcnn r-cnn tensorflow keras
+Classifier: Development Status :: 5 - Production/Stable
+Classifier: Environment :: Console
+Classifier: Intended Audience :: Developers
+Classifier: Intended Audience :: Information Technology
+Classifier: Intended Audience :: Education
+Classifier: Intended Audience :: Science/Research
+Classifier: License :: OSI Approved :: MIT License
+Classifier: Natural Language :: English
+Classifier: Operating System :: OS Independent
+Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
+Classifier: Topic :: Scientific/Engineering :: Image Recognition
+Classifier: Topic :: Scientific/Engineering :: Visualization
+Classifier: Topic :: Scientific/Engineering :: Image Segmentation
+Classifier: Programming Language :: Python :: 3.4
+Classifier: Programming Language :: Python :: 3.5
+Classifier: Programming Language :: Python :: 3.6
+Requires-Python: >=3.4
+
+This is an implementation of Mask R-CNN on Python 3, Keras, and TensorFlow. 
+The model generates bounding boxes and segmentation masks for each instance of an object in the image. 
+It's based on Feature Pyramid Network (FPN) and a ResNet101 backbone.

mask_rcnn.egg-info/dependency_links.txt

@@ -0,0 +1 @@
+

mask_rcnn.egg-info/top_level.txt

@@ -0,0 +1 @@
+mrcnn