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Comet Logging and Visualization Integration (#9232)

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* add comet to logger interface

* add comet logger

* add support for updated parameters

* clean up offline logger creation

* update callback args for comet logger

* add comet optimizer

* add optimizer config

* add comet README

* update tutorial notebook with Comet section

* add option to log class level metrics

* add support for class level metrics and confusion matrix

* handle errors when adding files to artifacts

* fix typo

* clean resume workflow

* updates for HPO

* update comet README

* fix typo in comet README

* update code snippets in comet README

* update comet links in tutorial

* updated links

* change optimizer batch size param and update comet README image

* update comet section in tutorial

* use prexisting cmd line flags to configure logger

* update artifact upload/download flow

* remove come remove comet logger specific cmd line args

* move downloading weights into comet logger code

* remove extra argparse

* [pre-commit.ci] auto fixes from pre-commit.com hooks

for more information, see https://pre-commit.ci

* change checkpoint logging flow to follow offline logger

* update resume flow

* add comet logger to remote dataset property

* update cmd line args in hpo

* set types for integer/float env variables

* update README

* fix typo in README

* default to always logging model predictions

* Update tutorial.ipynb

* Update train.py

* Add Comet to Integrations table

* Update README.md

* [pre-commit.ci] auto fixes from pre-commit.com hooks

for more information, see https://pre-commit.ci

Co-authored-by: Ayush Chaurasia <ayush.chaurarsia@gmail.com>
Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com>
Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
This commit is contained in:
Dhruv NairAyush ChaurasiaGlenn Jocherpre-commit-ci[bot]
 authored and GitHub committed 2022-09-07 18:28:46 +03:00
1 parent 5a134e0653
commit 903b239f13
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utils/loggers/comet/optimizer_config.json
+209
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@@ -0,0 +1,209 @@
{
"algorithm": "random",
"parameters": {
"anchor_t": {
"type": "discrete",
"values": [
2,
8
]
},
"batch_size": {
"type": "discrete",
"values": [
16,
32,
64
]
},
"box": {
"type": "discrete",
"values": [
0.02,
0.2
]
},
"cls": {
"type": "discrete",
"values": [
0.2
]
},
"cls_pw": {
"type": "discrete",
"values": [
0.5
]
},
"copy_paste": {
"type": "discrete",
"values": [
1
]
},
"degrees": {
"type": "discrete",
"values": [
0,
45
]
},
"epochs": {
"type": "discrete",
"values": [
5
]
},
"fl_gamma": {
"type": "discrete",
"values": [
0
]
},
"fliplr": {
"type": "discrete",
"values": [
0
]
},
"flipud": {
"type": "discrete",
"values": [
0
]
},
"hsv_h": {
"type": "discrete",
"values": [
0
]
},
"hsv_s": {
"type": "discrete",
"values": [
0
]
},
"hsv_v": {
"type": "discrete",
"values": [
0
]
},
"iou_t": {
"type": "discrete",
"values": [
0.7
]
},
"lr0": {
"type": "discrete",
"values": [
1e-05,
0.1
]
},
"lrf": {
"type": "discrete",
"values": [
0.01,
1
]
},
"mixup": {
"type": "discrete",
"values": [
1
]
},
"momentum": {
"type": "discrete",
"values": [
0.6
]
},
"mosaic": {
"type": "discrete",
"values": [
0
]
},
"obj": {
"type": "discrete",
"values": [
0.2
]
},
"obj_pw": {
"type": "discrete",
"values": [
0.5
]
},
"optimizer": {
"type": "categorical",
"values": [
"SGD",
"Adam",
"AdamW"
]
},
"perspective": {
"type": "discrete",
"values": [
0
]
},
"scale": {
"type": "discrete",
"values": [
0
]
},
"shear": {
"type": "discrete",
"values": [
0
]
},
"translate": {
"type": "discrete",
"values": [
0
]
},
"warmup_bias_lr": {
"type": "discrete",
"values": [
0,
0.2
]
},
"warmup_epochs": {
"type": "discrete",
"values": [
5
]
},
"warmup_momentum": {
"type": "discrete",
"values": [
0,
0.95
]
},
"weight_decay": {
"type": "discrete",
"values": [
0,
0.001
]
}
},
"spec": {
"maxCombo": 0,
"metric": "metrics/mAP_0.5",
"objective": "maximize"
},
"trials": 1
}