lisc | LISP as a python 's LISt Comprehension | Interpreter library
kandi X-RAY | lisc Summary
kandi X-RAY | lisc Summary
There are those who will tell you that LISP is an acronnym for LISt Processor and others who insist that it stands for Lots of Infuriantingly Silly Parenthesis. --- R. Jones, C. Maynard, I. Stewart, "The Art of Lisp Programming". Because Python's list comprehensions are Turing complete (Japanese article, the proof as implementation of brainfxxk), we can implement everything on list comprehensions, off course LISP, as you wish. This is an implementation of LISP, and this is wrote as a Python's list comprehension.
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- Evaluate l .
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- Read a symbol from a string .
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- Read a single character from the stream .
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QUESTION
Need assistance with the simple task. I’m playing around with the LISC dataset that contains hematological images taken from peripheral blood and segmentation masks of manual ground truth for these graphical samples. The task is the following:
- Segment isolated leukocytes by removing/cropping irrelevant background elements using the segmentation masks given in the dataset. Try this on one sample only.
- Once accomplished, go through the whole folder, and segment/crop the rest of the samples.
Results should be like this (these were obtained via a combination of Mask R-CNN, GrabCut, and OpenCV — but not suitable for the current project I’m working on):
Here is the code that I’ve got so far (from jupyter notebook):
...ANSWER
Answered 2021-Apr-27 at 15:29The change in colors is the result of the specified heatmap (viridis instead of binary) as noted above in comments.
The output image has different coloration than the input image because OpenCV uses BGR rather than RGB for colors, so it's likely your red and blue channels are swapped. If you read an image with OpenCV and plot with Matplotlib or vice versa. There are two easy solutions:
1.) Both read and plot images with OpenCV. You can replace plt.imshow(im_orig) with:
QUESTION
I'm testing a c code for linux with large arrays to measure thread performance, the application scales very well when threads are increased until max cores (8 for Intel 4770), but this is only for the pure math part of my code.
If I add the printf part for resulted arrays then the times becomes too large, from few seconds to several minutes even if redirected to a file, when printf those arrays should add just a few seconds.
The code:
(gcc 7.5.0-Ubuntu 18.04)
without printf loop:
gcc -O3 -m64 exp_multi.c -pthread -lm
with printf loop:
gcc -DPRINT_ARRAY -O3 -m64 exp_multi.c -pthread -lm
...ANSWER
Answered 2020-Oct-15 at 21:27I don't think this has much to with pthread because your code only appears to call printf after the threads are joined. Instead, the poor performance is likely due to cache misses by needing to read from the xv and yv arrays in every iteration of the print loop.
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Install lisc
You can use lisc like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
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