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Error while predicting result #31
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What was the image filetype used here? It looks like a Pillow error (supported files here: https://pillow.readthedocs.io/en/stable/handbook/image-file-formats.html). Are you able to open the image file directly with Pillow by doing:
|
Nope. Same error is populated. Can pls someone suggested to bypass this error. |
At a glance, it looks like it's related to Pillow's TIFF handler, although the documentation linked above suggests that TIFFs are supported. Does it still happen if you remove all of the TIFF files and only use JPGs/PNGs? |
YEs |
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
Originally posted by @GDGauravDutta in #25 (comment)
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