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I've left this project alone for awhile and several requirements are now out-of-data. I need to refresh this project when I have some spare time to get it working again.

how can i train custom images and detect them?

For any URL I have tried so far, I get the following outcome:

$ classify 'http://www.kitchengoodies.ca/uploads/ecom/fullsize/Lecreuset%20Stainless%20Kettle.jpg'
Traceback (most recent call last):
  File "/usr/local/bin/classify", line 11, in <module>
    load_entry_point('tensorpy==1.0.17', 'console_scripts', 'classify')()
  File "build/bdist.macosx-10.12-x86_64/egg/tensorpy/classify.py", line 91, in main
  File "build/bdist.macosx-10.12-x86_64/egg/tensorpy/image_base.py", line 90, in classify_image_url
  File "build/bdist.macosx-10.12-x86_64/egg/tensorpy/image_base.py", line 31, in convert_image_file_to_jpg
Exception: Cannot convert downloads_folder/temp_image_c614d6edb49b4cbe995bbf71bca1c780.png to jpg!

The comedy gold here is that the image was already a JPG, but somehow classify has saved it in a file ending in '.png', and is now wondering why it fails to convert this to JPEG. 🤣

(The classify_image.py script which operates on local files works totally fine, of course.)

Hi

I use Anaconda Python 2.7 on my iMac, I can create virtual environment "tensorpy" with Conda, but not sure if I can follow your setup steps to install tensorpy, especially the install.sh

Thanks

How do I detect objects in realtime using webcam?

Can anyone tell me what classes are present in this model and the accuracy .

I'm not sure if this is a problem with TesnorPy, Tensorflow, or the Windows 10 Linux Subsystem, but I've created the following script to bulk classify images in a directory and then output a dictionary indicating the # of times each classification is found. Here's my code:

from tensorpy import classify_image
from path import Path as path
from tensorflow.python.framework.errors_impl import InvalidArgumentError

def dir_classify(dirstr):
	mydir = path(dirstr)
	classes = {}
	for f in mydir.files():
		try:
			guess = classify_image.external_run(f)
			if guess in classes:
				classes[guess] += 1
			else:
				classes[guess] = 1
		except InvalidArgumentError:
			pass
	return classes

Note you need to install path.py to run this:

pip install path.py

Here's the info on my environment:

Python version: 2.7.13 (Anaconda 4.3.1)
OS: Windows 10 (but running the Linux Subsystem)

To reproduce this error, run the above like the following:

dir_classify("/mnt/c/pictures")

(Assuming you've got a bunch of pictures in c:\pictures)

When I run this on a Windows machine using the Linux Subsystem, it freezes my entire machine. The screen turns off and my machine stops responding to any keyboard or mouse input.

I then tried running it on a native Linux installation (Linux Mint 18.1 to be precise) and it doesn't completely freeze my computer but it exists with the error "Killed".. it doesn't even throw an exception, just throws you out of Python.