abhishek thakur abhishekkrthakur
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| class CollectionsDatasetTest(Dataset): | |
| def __init__(self, | |
| csv_file, | |
| root_dir, | |
| transform=None): | |
| self.data = pd.read_csv(csv_file) | |
| self.root_dir = root_dir | |
| self.transform = transform |
abhishekkrthakur
/ collections_dataset.py
Last active
June 11, 2019 19:52
finetuning_collections_dataset
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| from PIL import Image | |
| from torch.utils.data import Dataset | |
| class CollectionsDataset(Dataset): | |
| def __init__(self, | |
| csv_file, | |
| root_dir, | |
| num_classes, | |
| transform=None): |
abhishekkrthakur
/ min-char-rnn.py
Created
November 25, 2015 14:24
— forked from karpathy/min-char-rnn.py
Minimal character-level language model with a Vanilla Recurrent Neural Network, in Python/numpy
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| """ | |
| Minimal character-level Vanilla RNN model. Written by Andrej Karpathy (@karpathy) | |
| BSD License | |
| """ | |
| import numpy as np | |
| # data I/O | |
| data = open('input.txt', 'r').read() # should be simple plain text file | |
| chars = list(set(data)) | |
| data_size, vocab_size = len(data), len(chars) |
abhishekkrthakur
/ face_detect
Last active
August 29, 2015 14:05
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| import cv2 | |
| scaling = 10 | |
| webcam = cv2.VideoCapture(0) | |
| haar = cv2.CascadeClassifier("/usr/local/Cellar/opencv/2.4.8.2/share/OpenCV/lbpcascades/lbpcascade_frontalface.xml") | |
| if webcam.isOpened(): # try to get the first frame | |
| rval, frame = webcam.read() |
abhishekkrthakur
/ km_latlong
Created
July 17, 2014 16:32
kmeans_based_latitude_longitude_clustering_haversine
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| # k-Means clustering for Normal Distributions - Almost from scratch! | |
| import numpy as np | |
| import scipy as sp | |
| import random | |
| from math import radians, cos, sin, asin, sqrt | |
| def haversine(lon1, lat1, lon2, lat2): | |
| """ |
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| ==> Installing dependencies for opencv: cmake, pkg-config, libpng | |
| ==> Installing opencv dependency: cmake | |
| ==> Downloading http://www.cmake.org/files/v2.8/cmake-2.8.12.tar.gz | |
| ######################################################################## 100.0% | |
| ==> ./bootstrap --prefix=/usr/local/Cellar/cmake/2.8.12 --system-libs --no-system-libarchive --datadir=/shar | |
| ==> make | |
| ==> make install | |
| Warning: Could not link cmake. Unlinking... | |
| Error: The `brew link` step did not complete successfully |
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