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Haochen w-hc whc.is student at the University of Chicago

diode-dataset/diode-devkit 33

DIODE Development Toolkit

w-hc/pcv 9

Pixel Consensus Voting for Panoptic Segmentation (CVPR 2020)

w-hc/torch_audioset 7

PyTorch transcribed audioset classifier, including VGGish and YAMNet, along with utils to manipulate autioset category ontology.

uchimwtc/MWTC19Submit 0

A template that we expect of participant code repo

w-hc/CME-Trading-Strategies 0

These are python prototypes used for testing in trading models. They are later implemented in C++ and I do not have them with me.

w-hc/cocoapi 0

COCO API - Dataset @ http://cocodataset.org/

w-hc/coco_vis 0

A visualization tool for object detection

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startedgoogle/spectral-density

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startedkawine/contextual

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allow gatherer to use provided dir

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remove dynamic object loading

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do not exclude autobot-1-1

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do not enforce group_name checking

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update mailer

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add some common code

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change warning email to a context manager

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add range reading interface to lmdb.

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startedjnwatson/py-lmdb

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add util to manage data storage path

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add util for metadata serialization

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commit sha 8d080ecf41dd413ba03987611685ff3a792dedbd

when loading transcoded audio, do not open video container

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startedNVlabs/NVAE

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issue openednesl/asvspoof2019

Provided checkpoints produce high ERR

Hi thank you for providing the code and checkpoints.

I am running the code on the updated final data release downloaded from https://datashare.is.ed.ac.uk/handle/10283/3336

I modified the dataset feeding layer a little bit for the changed file name and formats. But overall the logic is kept as is.

python model_main.py --eval  --eval_output=./cm.txt --model_path=./sample_model/SPEC/spec_logical.pth

This checkpoint produces ERR at 43.01%

python model_main.py --eval  --eval_output=./cm.txt --model_path=./sample_model/SPEC/spec.pth

This checkpoint produces ERR at 49.05%

python model_main.py --eval  --eval_output=./cm.txt --model_path=./sample_model/SPEC/spect_finetune.pth

This checkpoint produces ERR at 56.51%

python model_main.py --eval --features mfcc  --eval_output=./cm.txt --model_path=./sample_model/MFCC/mfcc_logical.pth

This checkpoint fails to run.

RuntimeError: size mismatch, m1: [32 x 32], m2: [480 x 128] at /opt/conda/conda-bld/pytorch_1587428207430/work/aten/src/THC/generic/THCTensorMathBlas.cu:283

The dimensions of the output is 32x32 before fc1 and there is a shape mismatch.

I guess my question is are these checkpoints supposed to perform much better? If so then it might be an error on my part and I'll doublecheck.

Thank you!

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startedmarufshidiq/gdrive-cli-builder

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Haochen

commit sha 304ea734d82e78ca4be5e07f7c8400d957a48f08

Update list.txt

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fork w-hc/gdrive-cli-builder

Build GDrive CLI (https://github.com/gdrive-org/gdrive) with your own credentials using GitHub Actions

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Haochen Wang

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remove the use of dataflow

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startedaldi/awesome-bulma-templates

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starteddavidbau/rewriting

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add script to create imagenet lmdb

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Haochen Wang

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quick util to convert PIL img to bytes

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allow customzied decoding func; don't assume __len__

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