I am receving this error while I am try to run the code (from CMD):
ModuleNotFoundError: No module named 'numbers.hog'; numbers is not a package
Here is the hog.py file code...
from skimage import feature
class HOG:
def __init__(self, orientations = 9, pixelsPerCell = (8, 8),
cellsPerBlock = (3, 3), normalize = False):
self.orienations = orientations
self.pixelsPerCell = pixelsPerCell
self.cellsPerBlock = cellsPerBlock
self.normalize = normalize
def describe(self, image):
hist = feature.hog(image,
orientations = self.orienations,
pixels_per_cell = self.pixelsPerCell,
cells_per_block = self.cellsPerBlock,
normalize = self.normalize)
return hist
...and the main (train.py) which return the error.
from sklearn.svm import LinearSVC
from numbers.hog import HOG
from numbers import dataset
import argparse
import pickle as cPickle
ap = argparse.ArgumentParser()
ap.add_argument("-d", "--dataset", required = True,
help = "path to the dataset file")
ap.add_argument("-m", "--model", required = True,
help = "path to where the model will be stored")
args = vars(ap.parse_args())
(digits, target) = dataset.load_digits(args["dataset"])
data = []
hog = HOG(orientations = 18, pixelsPerCell = (10, 10),
cellsPerBlock = (1, 1), normalize = True)
for image in digits:
image = dataset.deskew(image, 20)
image = dataset.center_extent(image, (20, 20))
hist = hog.describe(image)
data.append(hist)
model = LinearSVC(random_state = 42)
model.fit(data, target)
f = open(args["model"], "w")
f.write(cPickle.dumps(model))
f.close()
I don't uderstand why it gives me error on module package. numbers is a package, why it don't import it as well (as it seems) ?
UPDATE: tried to put from .hog import HOG and then execute from CMD..It prints:
No module named '__main__.hog'; '__main__' is not a package
Is it crazy ? hog.py is in the main package together with the other files. As you can see, it also contains HOG class.... Can't understand.. Some one can reproduce the error ?
In the IDE console it prints:
usage: train.py [-h] -d DATASET -m MODEL
train.py: error: the following arguments are required: -d/--dataset, -m/--model
This should be correct as soon as it is executed in IDE because the program MUST run in CMD.
UPDATE 2: for who is interested, this is the project https://github.com/VAUTPL/Number_Detection

