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lobe / lobe-python

Python toolset for working with Lobe models
MIT License
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Error while predicting result #25

Closed GDGauravDutta closed 3 years ago

GDGauravDutta commented 3 years ago

TypeError Traceback (most recent call last)

in 10 img = Image.open('./{}'.format(a)) 11 print(a) ---> 12 result = model.predict(img) 13 # Print top prediction 14 print('Model Prediction : {}'.format(result.prediction)) /opt/conda/lib/python3.7/site-packages/lobe/model/image_model.py in predict(self, image) 45 46 def predict(self, image: Image.Image) -> ClassificationResult: ---> 47 image_processed = image_utils.preprocess_image(image, self.signature.input_image_size) 48 image_array = image_utils.image_to_array(image_processed) 49 results = self.backend.predict(image_array) /opt/conda/lib/python3.7/site-packages/lobe/image_utils.py in preprocess_image(image, size) 83 84 def preprocess_image(image: Image.Image, size: Tuple[int, int]) -> Image.Image: ---> 85 image_processed = update_orientation(image) 86 87 # resize and crop image to the model's required size /opt/conda/lib/python3.7/site-packages/lobe/image_utils.py in update_orientation(image) 47 exif_orientation_tag = 0x0112 48 if hasattr(image, '_getexif'): ---> 49 exif = image._getexif() 50 if exif != None and exif_orientation_tag in exif: 51 orientation = exif.get(exif_orientation_tag, 1) /opt/conda/lib/python3.7/site-packages/PIL/JpegImagePlugin.py in _getexif(self) 473 474 def _getexif(self): --> 475 return _getexif(self) 476 477 def _getmp(self): /opt/conda/lib/python3.7/site-packages/PIL/JpegImagePlugin.py in _getexif(self) 496 if "exif" not in self.info: 497 return None --> 498 return self.getexif()._get_merged_dict() 499 500 /opt/conda/lib/python3.7/site-packages/PIL/Image.py in getexif(self) 1322 return self.im # could be abused 1323 -> 1324 def getextrema(self): 1325 """ 1326 Gets the the minimum and maximum pixel values for each band in /opt/conda/lib/python3.7/site-packages/PIL/Image.py in load(self, data) 3354 self._data = {} 3355 self._ifds = {} -> 3356 self._info = None 3357 self._loaded_exif = None 3358 /opt/conda/lib/python3.7/site-packages/PIL/TiffImagePlugin.py in load(self, fp) 766 tag, typ, count, data = self._unpack("HHL4s", self._ensure_read(fp, 12)) 767 --> 768 tagname = TiffTags.lookup(tag, self.group).name 769 typname = TYPES.get(typ, "unknown") 770 msg = f"tag: {tagname} ({tag}) - type: {typname} ({typ})" TypeError: lookup() takes 1 positional argument but 2 were given
mbeissinger commented 3 years ago

This looks like pillow couldn't load the image -- what is the filetype?

mbeissinger commented 3 years ago

Closing -- please comment with the filetype and if Pillow can load the image outside of Lobe. We only support what Pillow can open.

GDGauravDutta commented 2 years ago

TypeError Traceback (most recent call last) /tmp/ipykernel_35/1784468283.py in 1 result=[] 2 for i in test.filename: ----> 3 result_i= model.predict_from_file(i) 4 result.append(result_i.prediction) 5 print(result,len(result))

/opt/conda/lib/python3.7/site-packages/lobe/model/image_model.py in predict_from_file(self, path) 58 59 def predict_from_file(self, path: str): ---> 60 return self.predict(image_utils.get_image_from_file(path)) 61 62 def predict(self, image: Image.Image) -> ClassificationResult:

/opt/conda/lib/python3.7/site-packages/lobe/model/image_model.py in predict(self, image) 61 62 def predict(self, image: Image.Image) -> ClassificationResult: ---> 63 image_processed = image_utils.preprocess_image(image, self.signature.input_image_size) 64 image_array = image_utils.image_to_array(image_processed) 65 results = self.backend.predict(image_array)

/opt/conda/lib/python3.7/site-packages/lobe/image_utils.py in preprocess_image(image, size) 83 84 def preprocess_image(image: Image.Image, size: Tuple[int, int]) -> Image.Image: ---> 85 image_processed = update_orientation(image) 86 87 # resize and crop image to the model's required size

/opt/conda/lib/python3.7/site-packages/lobe/image_utils.py in update_orientation(image) 47 exif_orientation_tag = 0x0112 48 if hasattr(image, '_getexif'): ---> 49 exif = image._getexif() 50 if exif != None and exif_orientation_tag in exif: 51 orientation = exif.get(exif_orientation_tag, 1)

/opt/conda/lib/python3.7/site-packages/PIL/JpegImagePlugin.py in _getexif(self) 473 474 def _getexif(self): --> 475 return _getexif(self) 476 477 def _getmp(self):

/opt/conda/lib/python3.7/site-packages/PIL/JpegImagePlugin.py in _getexif(self) 496 if "exif" not in self.info: 497 return None --> 498 return self.getexif()._get_merged_dict() 499 500

/opt/conda/lib/python3.7/site-packages/PIL/Image.py in getexif(self) 1322 1323 self.load() -> 1324 if band is not None: 1325 return self.im.getband(band) 1326 return self.im # could be abused

/opt/conda/lib/python3.7/site-packages/PIL/Image.py in load(self, data) 3354 atexit.register(core.clear_cache) 3355 -> 3356 3357 class Exif(MutableMapping): 3358 endian = None

/opt/conda/lib/python3.7/site-packages/PIL/TiffImagePlugin.py in load(self, fp) 774 tag, typ, count, data = self._unpack("HHL4s", self._ensure_read(fp, 12)) 775 --> 776 tagname = TiffTags.lookup(tag, self.group).name 777 typname = TYPES.get(typ, "unknown") 778 msg = f"tag: {tagname} ({tag}) - type: {typname} ({typ})"

TypeError: lookup() takes 1 positional argument but 2 were given

Kaggle : https://www.kaggle.com/gauravduttakiit/notebook52daed67ed