I am trying to make a simple fine turned Resnet50 model using the Market1501 dataset and keras. So the data set contains images (12000 or so) and 751 labels that I want to use (0-750). I can fit the data into a single go so I have to use a image generator for this. So my base model is like
Tag: generator
Error handling for list comprehension in Python
Is there a way to handle errors in a python list comprehension. Preferably I would have something like this where the last two values are represented by None: values = [try i [“row”] except KeyError …
How does a generator function work internally?
Below is a generator function. def f(): x=1 while 1: y = yield x x += y Does this generator function (f) get implemented, internally, as shown below? class f(collections.Iterable):…
Remove duplicate JSON objects from list in python
I have a list of dict where a particular value is repeated multiple times, and I would like to remove the duplicate values. My list: function to remove duplicate values: When I call this function I get generator object. When I try to iterate over the generator I get TypeError: unhashable type: ‘dict’ Is there a way to remove the
Simplest way to get the first n elements of an iterator
How can I get the first n elements of an iterator (generator) in the simplest way? Is there something simpler than, e. g. I can’t think of a nicer way, but maybe there is? Maybe a functional form? Answer Use itertools.islice(): This will yield the next 3 elements from it, then stop.
Tracking how many elements processed in generator
I have a problem in which I process documents from files using python generators. The number of files I need to process are not known in advance. Each file contain records which consumes considerable …
Misunderstood python yield
This code below works correct : def file_gen(f_name): f = open(f_name) for line in f: yield line gen_line = file_gen(“foo.html”) gen_line.next() # ‘n’ gen_line.next(…
Merge of lazy streams (using generators) in Python
I’m playing with functional capacities of Python 3 and I tried to implement classical algorithm for calculating Hamming numbers. That’s the numbers which have as prime factors only 2, 3 or 5. First …
Is enumerate in python lazy?
I’d like to know what happens when I pass the result of a generator function to python’s enumerate(). Example: Is the enumeration iterated lazily, or does it slurp everything into the <enumerate object> first? I’m 99.999% sure it’s lazy, so can I treat it exactly the same as the generator function, or do I need to watch out for anything?
Understanding generators in Python
I am reading the Python cookbook at the moment and am currently looking at generators. I’m finding it hard to get my head round. As I come from a Java background, is there a Java equivalent? The book …