Imageai: Incorrect path for ResNet

[mbaguant]

### This is my code:

from imageai.Prediction.Custom import CustomImagePrediction

import os

imports the imageAI custom image prediction class

execution_path = os.getcwd()

creates a variable which holds the reference to the path that contains your python file (in this example, your FirstCustomImageRecognition.py) and the ResNet model file you downloaded or trained yourself.

prediction = CustomImagePrediction()

Instance for Image Prediction class

prediction.setModelTypeAsResNet()

Set model type to ResNet

prediction.setModelPath("idenprof_061-0.7933.h5")

Set the path of the artifical model path, copy project folder here - give as idenprof_061-0.7933.h5

prediction.setJsonPath("model_class.json")

Set the path of the JSON file - given as idenprof_model_class.json

prediction.loadModel(num_objects=5)

Load model here

predictions, probabilities = prediction.predictImage("image.jpg", result_count=3)

for eachPrediction, eachProbability in zip(predictions, probabilities):

print(eachPrediction , " : " , eachProbability)

This is the response i get from command prompt
C:\Python36\CustomTraining>newcustomtraining.py
WARNING: Logging before flag parsing goes to stderr.
W0718 16:08:34.773948 9944 deprecation.py:506] From C:\Python36\lib\site-packages\tensorflow\python\ops\init_ops.py:1251: calling VarianceScaling.__init__ (from tensorflow.python.ops.init_ops) with dtype is deprecated and will be removed in a future version.
Instructions for updating:
Call initializer instance with the dtype argument instead of passing it to the constructor
Traceback (most recent call last):
File "C:\Python36\lib\site-packages\imageai\Prediction\Custom__init__.py", line 385, in loadModel
model = ResNet50(model_path=self.modelPath, weights="trained", model_input=image_input, num_classes=self.numObjects)
File "C:\Python36\lib\site-packages\imageai\Prediction\ResNet\resnet50.py", line 111, in ResNet50
model.load_weights(weights_path)
File "C:\Python36\lib\site-packages\tensorflow\python\keras\engine\training.py", line 162, in load_weights
return super(Model, self).load_weights(filepath, by_name)
File "C:\Python36\lib\site-packages\tensorflow\python\keras\engine\network.py", line 1412, in load_weights
with h5py.File(filepath, 'r') as f:
File "C:\Python36\lib\site-packages\h5py_hl\files.py", line 394, in __init__
swmr=swmr)
File "C:\Python36\lib\site-packages\h5py_hl\files.py", line 170, in make_fid
fid = h5f.open(name, flags, fapl=fapl)
File "h5py_objects.pyx", line 54, in h5py._objects.with_phil.wrapper
File "h5py_objects.pyx", line 55, in h5py._objects.with_phil.wrapper
File "h5py\h5f.pyx", line 85, in h5py.h5f.open
OSError: Unable to open file (unable to open file: name = 'C:\Python36\CustomTraining\idenprof_resnet.h5', errno = 2, error message = 'No such file or directory', flags = 0, o_flags = 0)

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
File "C:\Python36\CustomTraining\newcustomtraining.py", line 11, in
predictor.loadModel(num_objects=5)
File "C:\Python36\lib\site-packages\imageai\Prediction\Custom__init__.py", line 389, in loadModel
raise ValueError("You have specified an incorrect path to the ResNet model file.")
ValueError: You have specified an incorrect path to the ResNet model file.

[ChanKimSiong]

maybe the model file path is incorrect

[OlafenwaMoses]

'No such file or directory' in the error code shows your model file is not in the path specified in your code.

[smcrowley8]

im having a similar issue. i haven't found a solution yet but if you have can you let me know

[RonZhang724]

Same here

2019-10-09 14:43:44.102841: I tensorflow/core/platform/cpu_feature_guard.cc:142] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA
2019-10-09 14:43:44.114607: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x7f88fbc8a1d0 executing computations on platform Host. Devices:
2019-10-09 14:43:44.114637: I tensorflow/compiler/xla/service/service.cc:175]   StreamExecutor device (0): Host, Default Version
Traceback (most recent call last):
  File "/Users/Ron/Desktop/ImageRecognition/venv/lib/python3.7/site-packages/imageai/Prediction/__init__.py", line 125, in loadModel
    model = ResNet50(model_path=self.modelPath, model_input=image_input)
  File "/Users/Ron/Desktop/ImageRecognition/venv/lib/python3.7/site-packages/imageai/Prediction/ResNet/resnet50.py", line 108, in ResNet50
    model.load_weights(weights_path)
  File "/Users/Ron/Desktop/ImageRecognition/venv/lib/python3.7/site-packages/tensorflow_core/python/keras/engine/training.py", line 181, in load_weights
    return super(Model, self).load_weights(filepath, by_name)
  File "/Users/Ron/Desktop/ImageRecognition/venv/lib/python3.7/site-packages/tensorflow_core/python/keras/engine/network.py", line 1171, in load_weights
    with h5py.File(filepath, 'r') as f:
  File "/Users/Ron/Desktop/ImageRecognition/venv/lib/python3.7/site-packages/h5py/_hl/files.py", line 408, in __init__
    swmr=swmr)
  File "/Users/Ron/Desktop/ImageRecognition/venv/lib/python3.7/site-packages/h5py/_hl/files.py", line 173, in make_fid
    fid = h5f.open(name, flags, fapl=fapl)
  File "h5py/_objects.pyx", line 54, in h5py._objects.with_phil.wrapper
  File "h5py/_objects.pyx", line 55, in h5py._objects.with_phil.wrapper
  File "h5py/h5f.pyx", line 88, in h5py.h5f.open
esnet50_weights_tf_dim_ordering_tf_kernels.h5', errno = 2, error message = 'No such file or directory', flags = 0, o_flags = 0)

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
  File "main.py", line 8, in <module>
    prediction.loadModel()
  File "/Users/Ron/Desktop/ImageRecognition/venv/lib/python3.7/site-packages/imageai/Prediction/__init__.py", line 129, in loadModel
    raise ValueError("You have specified an incorrect path to the ResNet model file.")
ValueError: You have specified an incorrect path to the ResNet model file.

I'm using venv btw.

[cagnulein]

@RonZhang724 i think you have to change the '\' to '/' before resnet50_weights_tf_dim_ordering_tf_kernels.h5 in your code

[gkcoderboy]

https://medium.com/@guymodscientist/image-prediction-with-10-lines-of-code-3266f4039c7a