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single shot yolo training, separate file

Joseph Redmon

2015-08-14 2afa376bb37b379f27954f74859fbfa63402ea46

2015-08-14

single shot yolo training, separate file

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2015-08-14

Need to keep GPU off by default

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2015-08-13

Added dice code

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2015-07-30

Added COCO, fixed memory leaks

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2015-07-21

Multiple GPUs instead of just sm_52

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2015-07-21

Changes to make routing work better

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2015-07-21

Switch to fast resize

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2015-07-21

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2015-07-20

changes to detection

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2015-07-14

nochange option in crop

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2015-07-13

add avgpool layer

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2015-07-10

fix linking error on ubuntu

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2015-07-09

normalization layer

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2015-07-08

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2015-06-16

width and stuff

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2015-06-16

pathing changes and stuff

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2015-06-16

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2015-06-13

turn off gpu and opencv

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2015-06-13

inet label script

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2015-06-11

testing on one image

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2015-06-11

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2015-06-10

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2015-06-10

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2015-05-25

?

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2015-05-11

route handles input images well....ish

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2015-05-08

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2015-04-21

gonna fuck shit up

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2015-04-17

per image randomness in crop layer

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2015-04-15

crop layer scaling and trans on cpu

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2015-04-13

probably stuff changed

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2015-03-28

dropout probably ok

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2015-03-27

Fixed im2col mistake >< face#palm

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2015-03-21

using caffe's im2col, it's so much better\!

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2015-03-21

gonna change im2col

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2015-03-06

Split commands into different files

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2015-03-04

Big changes to detection

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2015-02-11

Detection is back, baby\!

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2015-02-07

saving weight files as binaries, hell yeah

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2015-01-27

New name: Darknet

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2015-01-27

Bias updates bug fix

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2015-01-23

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2015-01-13

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2014-12-22

some fixes, some other experiments

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2014-12-18

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2014-12-07

Distributed training

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2014-12-03

Starting on server/client

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2014-11-18

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2014-11-05

Can validate on imagenet now

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2014-10-28

getting rid of sub_arrays, nvidia driver memory leak

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2014-10-25

Fast, needs to be faster

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