johri-lab / automatic-leaf-infection-identifier Goto Github PK

after the preprocessing ends, implement a feature extractor that should generate a csv file with data of all images.

Increase the dataset. You can use the leaf sampler code for updating data, if you have the perfect images, for the purpose.

QWidget: Must construct a QApplication before a QWidget
@johri002 im facing this issue while running GUIdriver.py file

Gitbash stops running when 'python3 leafdetectionALLsametype.py -i . ' command implemented. Trying to follow instructions for running the program on my computer but nothing happens when implementing the ' python3 leafdetectionALLsametype.py -i .' line. Gitbash stops processing information and cannot which back to 'master' branch. see below:

Add a User manual to help the user understand the steps to follow to use the program.

exec(open('main.py').read())
File "", line 74, in
ValueError: not enough values to unpack (expected 3, got 2)

Show your creativity on the README file. A more expressive and user-friendly revision.

how i fix this error? may someone help me.

Create a new requirements.txt to be integrated with setup.py

Image: leaf1.jpg Traceback (most recent call last): File "K:\Tensor\Automatic-leaf-infection-identifier-master\leaf-sampler\leafdetectionALLmix.py", line 79, in <module> img = cv2.resize(img,(275,183)) cv2.error: OpenCV(3.4.4) C:\projects\opencv-python\opencv\modules\imgproc\src\resize.cpp:3784: error: (-215:Assertion failed) !ssize.empty() in function 'cv::resize'

/usr/lib/python3/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
#warning "Using deprecated NumPy API, disable it by "
^~~~~~~
This error i got while writing this code : sudo python3 setup.py install

in the main.py line 12 an error "ImageFile" not defined

Improve the image segmentation algorithm to segment the leaves more efficiently. May work on segmenting leaves from a cluster or detection of more colors in leaf (say, purple, yellow, etc.) other than just green, that report healthy signs.

line 137 in leafdetectionALLmix.py,
contours,hierarchy = cv2.findContours(bordered, cv2.RETR_TREE, cv2.CHAIN_APPROX_NONE)
error occured:
ValueError: too many values to unpack (expected 2)

while creating dataset

https://stackoverflow.com/questions/20749819/pyqt5-failing-import-of-qtgui

Originally posted by @Onssassii in #55 (comment)

Create a setup.py file

No parenthesis wrapping print statements and img.reshape wants integer arguments so explicit typecasting is necessary.

Create contributing.md file

A module for making real-time image processing and detection feature work (say, by using cv2.VideoCapture())

How should I install PyQt4 package??

Choose the best ML algorithm to make the code run fast and efficiently

A basic but creative GUI interface.

how i fix this error?