John1231983
John1231983
/ model.py
Created
October 16, 2020 22:31
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| import torch | |
| import torch.nn as nn | |
| from torch.nn import Linear, Conv2d, BatchNorm1d, BatchNorm2d, PReLU, ReLU, Sigmoid, Dropout, MaxPool2d, \ | |
| AdaptiveAvgPool2d, Sequential, Module | |
| from collections import namedtuple | |
| # Support: ['IR_50', 'IR_101', 'IR_152', 'IR_SE_50', 'IR_SE_101', 'IR_SE_152'] | |
John1231983
/ PFPN.py
Created
March 13, 2018 22:57
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| _, C2, C3, C4, C5 = resnet_graph(input_image, "resnet50", stage5=True) | |
| P5 = KL.Conv2D(256, (1, 1), name='fpn_c5p5')(C5) | |
| P4 = KL.Add(name="fpn_p4add")([ | |
| KL.UpSampling2D(size=(2, 2), name="fpn_p5upsampled")(P5), | |
| KL.Conv2D(256, (1, 1), name='fpn_c4p4')(C4)]) | |
| P3 = KL.Add(name="fpn_p3add")([ | |
| KL.UpSampling2D(size=(2, 2), name="fpn_p4upsampled")(P4), | |
| KL.Conv2D(256, (1, 1), name='fpn_c3p3')(C3)]) | |
| P2 = KL.Add(name="fpn_p2add")([ | |
| KL.UpSampling2D(size=(2, 2), name="fpn_p3upsampled")(P3), |
John1231983
/ jaccard_coef_loss.py
Created
March 9, 2018 14:34
— forked from wassname/jaccard_coef_loss.py
jaccard_coef_loss for keras. This loss is usefull when you have unbalanced classes within a sample such as segmenting each pixel of an image. For example you are trying to predict if each pixel is cat, dog, or background. You may have 80% background, 10% dog, and 10% cat. Should a model that predicts 100% background be 80% right, or 30%? Categor…
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| from keras import backend as K | |
| def jaccard_distance_loss(y_true, y_pred, smooth=100): | |
| """ | |
| Jaccard = (|X & Y|)/ (|X|+ |Y| - |X & Y|) | |
| = sum(|A*B|)/(sum(|A|)+sum(|B|)-sum(|A*B|)) | |
| The jaccard distance loss is usefull for unbalanced datasets. This has been | |
| shifted so it converges on 0 and is smoothed to avoid exploding or disapearing | |
| gradient. |
John1231983
/ Error.txt
Created
January 4, 2018 02:15
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| lee@lee:~$ sudo apt-get dist-upgrade | |
| Reading package lists... Done | |
| Building dependency tree | |
| Reading state information... Done | |
| You might want to run 'apt-get -f install' to correct these. | |
| The following packages have unmet dependencies: | |
| apport : Depends: python3-apport (>= 2.20.1-0ubuntu2.14) but 2.20.1-0ubuntu2.13 is installed | |
| apport-gtk : Depends: python3-apport (>= 2.20.1-0ubuntu2.14) but 2.20.1-0ubuntu2.13 is installed | |
| E: Unmet dependencies. Try using -f. |
John1231983
/ network.py
Last active
December 20, 2017 08:13
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| class ResNet_101(object): | |
| def __init__(self, inputs, num_classes, phase): | |
| self.inputs = inputs | |
| self.num_classes = num_classes | |
| self.channel_axis = 3 | |
| self.phase = phase # train (True) or test (False), for BN layers in the decoder | |
| self.build_network() | |
| def build_network(self): | |
| self.encoding = self.build_encoder() |
John1231983
/ val.txt
Created
December 15, 2017 02:01
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| /JPEGImages/2007_000033.jpg /SegmentationClassAug/2007_000033.png | |
| /JPEGImages/2007_000042.jpg /SegmentationClassAug/2007_000042.png | |
| /JPEGImages/2007_000061.jpg /SegmentationClassAug/2007_000061.png | |
| /JPEGImages/2007_000123.jpg /SegmentationClassAug/2007_000123.png | |
| /JPEGImages/2007_000129.jpg /SegmentationClassAug/2007_000129.png | |
| /JPEGImages/2007_000175.jpg /SegmentationClassAug/2007_000175.png | |
| /JPEGImages/2007_000187.jpg /SegmentationClassAug/2007_000187.png | |
| /JPEGImages/2007_000323.jpg /SegmentationClassAug/2007_000323.png | |
| /JPEGImages/2007_000332.jpg /SegmentationClassAug/2007_000332.png | |
| /JPEGImages/2007_000346.jpg /SegmentationClassAug/2007_000346.png |
John1231983
/ train.txt
Created
December 15, 2017 02:00
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| /JPEGImages/2007_000032.jpg /SegmentationClassAug/2007_000032.png | |
| /JPEGImages/2007_000039.jpg /SegmentationClassAug/2007_000039.png | |
| /JPEGImages/2007_000063.jpg /SegmentationClassAug/2007_000063.png | |
| /JPEGImages/2007_000068.jpg /SegmentationClassAug/2007_000068.png | |
| /JPEGImages/2007_000121.jpg /SegmentationClassAug/2007_000121.png | |
| /JPEGImages/2007_000170.jpg /SegmentationClassAug/2007_000170.png | |
| /JPEGImages/2007_000241.jpg /SegmentationClassAug/2007_000241.png | |
| /JPEGImages/2007_000243.jpg /SegmentationClassAug/2007_000243.png | |
| /JPEGImages/2007_000250.jpg /SegmentationClassAug/2007_000250.png | |
| /JPEGImages/2007_000256.jpg /SegmentationClassAug/2007_000256.png |
John1231983
/ read_record_and_aug.py
Last active
November 21, 2017 01:38
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| import tensorflow as tf | |
| import numpy as np | |
| import os | |
| from PIL import Image | |
| from dir_traversal_tfrecord import tfrecord_auto_traversal | |
| flags = tf.app.flags | |
| FLAGS = flags.FLAGS | |
| flags.DEFINE_integer("image_number", 186, "Number of images in your tfrecord, default is 186.") |
John1231983
/ RSI_customer.js
Created
November 14, 2017 08:57
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| /* | |
| RSI - cykedev 14/02/2014 | |
| (updated a couple of times since, check git history) | |
| */ | |
| // helpers | |
| var _ = require('lodash'); | |
| var log = require('../core/log.js'); |
John1231983
/ StochRSI_MACD.js
Last active
October 8, 2018 23:35
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| /* | |
| StochRSI - SamThomp 11/06/2014 | |
| (updated by askmike) @ 30/07/2016 | |
| */ | |
| // helpers | |
| var _ = require('lodash'); | |
| var log = require('../core/log.js'); |
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