View oid-classes-segmentable.csv
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/m/01bms0 | Screwdriver | |
---|---|---|
/m/03jbxj | Light switch | |
/m/0jy4k | Doughnut | |
/m/09gtd | Toilet paper | |
/m/01j5ks | Wrench | |
/m/01k6s3 | Toaster | |
/m/05ctyq | Tennis ball | |
/m/015x5n | Radish | |
/m/0jwn_ | Pomegranate | |
/m/02zt3 | Kite |
View mnist_cnn.py
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'''Trains a simple convnet on the MNIST dataset. | |
Gets to 99.25% test accuracy after 12 epochs | |
(there is still a lot of margin for parameter tuning). | |
16 seconds per epoch on a GRID K520 GPU. | |
''' | |
from __future__ import print_function | |
import tensorflow as tf | |
from tensorflow.keras.datasets import mnist |
View flow.cpp
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#include "fizyr_flow.hpp" | |
void Variable::operator=(std::any v) { | |
// Copy the new value. | |
value = v; | |
// Check if we can run ops that haven't been executed yet. | |
for (auto const & op: operators) | |
if (op->inputsReady() && !op->executed()) { | |
op->_execute(); |
View train.py
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#!/usr/bin/env python | |
""" | |
Copyright 2017-2018 Fizyr (https://fizyr.com) | |
Licensed under the Apache License, Version 2.0 (the "License"); | |
you may not use this file except in compliance with the License. | |
You may obtain a copy of the License at | |
http://www.apache.org/licenses/LICENSE-2.0 |
View ResNet-18.prototxt
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name: "ResNet-18" | |
layer { | |
name: 'input-data' | |
type: 'Python' | |
top: 'data' | |
top: 'im_info' | |
top: 'gt_boxes' | |
python_param { | |
module: 'roi_data_layer.layer' |
View batch_size.ipynb
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View transform.ipynb
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View ResNet50RetinaNet - Malaria.ipynb
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View TwoClass.ipynb
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View ResNet50RetinaNet - Toy.ipynb
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