repo_id stringlengths 19 138 | file_path stringlengths 32 200 | content stringlengths 1 12.9M | __index_level_0__ int64 0 0 |
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apollo_public_repos | apollo_public_repos/apollo-model-yolo3d/mkdocs.yml | # Project information
site_name: YOLO3D
site_url: https://ruhyadi.github.io/yolo3d-lightning
site_author: Didi Ruhyadi
site_description: >-
YOLO3D: 3D Object Detection with YOLO
# Repository
repo_name: ruhyadi/yolo3d-lightning
repo_url: https://github.com/ruhyadi/yolo3d-lightning
edit_uri: ""
# Copyright
copyright:... | 0 |
apollo_public_repos | apollo_public_repos/apollo-model-yolo3d/LICENSE | Apache License
Version 2.0, January 2004
http://www.apache.org/licenses/
TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION
1. Definitions.
"License" shall mean the terms and conditions for use, reproduction,
... | 0 |
apollo_public_repos | apollo_public_repos/apollo-model-yolo3d/requirements.txt | # --------- pytorch --------- #
torch>=1.8.0
torchvision>=0.9.1
pytorch-lightning==1.6.5
torchmetrics==0.9.2
# --------- hydra --------- #
hydra-core==1.2.0
hydra-colorlog==1.2.0
hydra-optuna-sweeper==1.2.0
# --------- loggers --------- #
# wandb
# neptune-client
# mlflow
# comet-ml
# --------- others --------- #
py... | 0 |
apollo_public_repos | apollo_public_repos/apollo-model-yolo3d/Makefile |
help: ## Show help
@grep -E '^[.a-zA-Z_-]+:.*?## .*$$' $(MAKEFILE_LIST) | awk 'BEGIN {FS = ":.*?## "}; {printf "\033[36m%-30s\033[0m %s\n", $$1, $$2}'
clean: ## Clean autogenerated files
rm -rf dist
find . -type f -name "*.DS_Store" -ls -delete
find . | grep -E "(__pycache__|\.pyc|\.pyo)" | xargs rm -rf
find . ... | 0 |
apollo_public_repos | apollo_public_repos/apollo-model-yolo3d/convert.py | """ Conver checkpoint to model (.pt/.pth/.onnx) """
import torch
from torch.utils.data import Dataset, DataLoader
from pytorch_lightning import LightningModule
from src import utils
import dotenv
import hydra
from omegaconf import DictConfig
import os
# load environment variables from `.env` file if it exists
# recu... | 0 |
apollo_public_repos | apollo_public_repos/apollo-model-yolo3d/pyproject.toml | [tool.pytest.ini_options]
addopts = [
"--color=yes",
"--durations=0",
"--strict-markers",
"--doctest-modules",
]
filterwarnings = [
"ignore::DeprecationWarning",
"ignore::UserWarning",
]
log_cli = "True"
markers = [
"slow: slow tests",
]
minversion = "6.0"
testpaths = "tests/"
[tool.coverage.report]
excl... | 0 |
apollo_public_repos | apollo_public_repos/apollo-model-yolo3d/README.md | <div align="center">
# YOLO3D: 3D Object Detection with YOLO
</div>
## Introduction
YOLO3D is inspired by [Mousavian et al.](https://arxiv.org/abs/1612.00496) in their paper **3D Bounding Box Estimation Using Deep Learning and Geometry**. YOLO3D uses a different approach, we use 2d gt label result as the input of fi... | 0 |
apollo_public_repos | apollo_public_repos/apollo-model-yolo3d/setup.py | #!/usr/bin/env python
from setuptools import find_packages, setup
setup(
name="src",
version="0.0.1",
description="Describe Your Cool Project",
author="",
author_email="",
url="https://github.com/user/project", # REPLACE WITH YOUR OWN GITHUB PROJECT LINK
install_requires=["pytorch-lightni... | 0 |
apollo_public_repos | apollo_public_repos/apollo-model-yolo3d/inference.py | """ Inference Code """
from typing import List
from PIL import Image
import cv2
from glob import glob
import numpy as np
import torch
from torchvision.transforms import transforms
from pytorch_lightning import LightningModule
from src.utils import Calib
from src.utils.averages import ClassAverages
from src.utils.Math... | 0 |
apollo_public_repos/apollo-model-yolo3d | apollo_public_repos/apollo-model-yolo3d/kitti_object_eval/LICENSE | MIT License
Copyright (c) 2018
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, subl... | 0 |
apollo_public_repos/apollo-model-yolo3d | apollo_public_repos/apollo-model-yolo3d/kitti_object_eval/run.sh | python evaluate.py evaluate \
--label_path=/home/your/path/data/KITTI/label_2 \
--result_path=/home/your/path/data/KITTI/result \
--label_split_file=/home/your/path/data/KITTI/ImageSets/val.txt \
--current_class=0,1,2 | 0 |
apollo_public_repos/apollo-model-yolo3d | apollo_public_repos/apollo-model-yolo3d/kitti_object_eval/README.md | # Note
This code is from [traveller59/kitti-object-eval-python](https://github.com/traveller59/kitti-object-eval-python)
# kitti-object-eval-python
Fast kitti object detection eval in python(finish eval in less than 10 second), support 2d/bev/3d/aos. , support coco-style AP. If you use command line interface, numba n... | 0 |
apollo_public_repos/apollo-model-yolo3d | apollo_public_repos/apollo-model-yolo3d/kitti_object_eval/kitti_common.py | import concurrent.futures as futures
import os
import pathlib
import re
from collections import OrderedDict
import numpy as np
from skimage import io
def get_image_index_str(img_idx):
return "{:06d}".format(img_idx)
def get_kitti_info_path(idx,
prefix,
info_type='... | 0 |
apollo_public_repos/apollo-model-yolo3d | apollo_public_repos/apollo-model-yolo3d/kitti_object_eval/evaluate.py | import time
import fire
import kitti_common as kitti
from eval import get_official_eval_result, get_coco_eval_result
def _read_imageset_file(path):
with open(path, 'r') as f:
lines = f.readlines()
return [int(line) for line in lines]
def evaluate(label_path, # gt
result_path, # dt
... | 0 |
apollo_public_repos/apollo-model-yolo3d | apollo_public_repos/apollo-model-yolo3d/kitti_object_eval/eval.py | import io as sysio
import time
import numba
import numpy as np
from scipy.interpolate import interp1d
from rotate_iou import rotate_iou_gpu_eval
def get_mAP(prec):
sums = 0
for i in range(0, len(prec), 4):
sums += prec[i]
return sums / 11 * 100
@numba.jit
def get_thresholds(scores: np.ndarray, ... | 0 |
apollo_public_repos/apollo-model-yolo3d | apollo_public_repos/apollo-model-yolo3d/kitti_object_eval/rotate_iou.py | #####################
# Based on https://github.com/hongzhenwang/RRPN-revise
# Licensed under The MIT License
# Author: yanyan, scrin@foxmail.com
#####################
import math
import numba
import numpy as np
from numba import cuda
@numba.jit(nopython=True)
def div_up(m, n):
return m // n + (m % n > 0)
@cuda.... | 0 |
apollo_public_repos/apollo-model-yolo3d | apollo_public_repos/apollo-model-yolo3d/weights/get_regressor_weights.py | """Get checkpoint from W&B"""
import wandb
run = wandb.init()
artifact = run.use_artifact('3ddetection/yolo3d-regressor/experiment-ckpts:v11', type='checkpoints')
artifact_dir = artifact.download() | 0 |
apollo_public_repos/apollo-model-yolo3d | apollo_public_repos/apollo-model-yolo3d/tests/test_configs.py | import hydra
from hydra.core.hydra_config import HydraConfig
from omegaconf import DictConfig
def test_train_config(cfg_train: DictConfig):
assert cfg_train
assert cfg_train.datamodule
assert cfg_train.model
assert cfg_train.trainer
HydraConfig().set_config(cfg_train)
hydra.utils.instantiate... | 0 |
apollo_public_repos/apollo-model-yolo3d | apollo_public_repos/apollo-model-yolo3d/tests/conftest.py | import pyrootutils
import pytest
from hydra import compose, initialize
from hydra.core.global_hydra import GlobalHydra
from omegaconf import DictConfig, open_dict
@pytest.fixture(scope="package")
def cfg_train_global() -> DictConfig:
with initialize(version_base="1.2", config_path="../configs"):
cfg = com... | 0 |
apollo_public_repos/apollo-model-yolo3d | apollo_public_repos/apollo-model-yolo3d/tests/test_train.py | import os
import pytest
from hydra.core.hydra_config import HydraConfig
from omegaconf import open_dict
from src.train import train
from tests.helpers.run_if import RunIf
def test_train_fast_dev_run(cfg_train):
"""Run for 1 train, val and test step."""
HydraConfig().set_config(cfg_train)
with open_dict(... | 0 |
apollo_public_repos/apollo-model-yolo3d | apollo_public_repos/apollo-model-yolo3d/tests/test_sweeps.py | import pytest
from tests.helpers.run_if import RunIf
from tests.helpers.run_sh_command import run_sh_command
startfile = "src/train.py"
overrides = ["logger=[]"]
@RunIf(sh=True)
@pytest.mark.slow
def test_experiments(tmp_path):
"""Test running all available experiment configs with fast_dev_run=True."""
comm... | 0 |
apollo_public_repos/apollo-model-yolo3d | apollo_public_repos/apollo-model-yolo3d/tests/test_mnist_datamodule.py | from pathlib import Path
import pytest
import torch
from src.datamodules.mnist_datamodule import MNISTDataModule
@pytest.mark.parametrize("batch_size", [32, 128])
def test_mnist_datamodule(batch_size):
data_dir = "data/"
dm = MNISTDataModule(data_dir=data_dir, batch_size=batch_size)
dm.prepare_data()
... | 0 |
apollo_public_repos/apollo-model-yolo3d | apollo_public_repos/apollo-model-yolo3d/tests/test_eval.py | import os
import pytest
from hydra.core.hydra_config import HydraConfig
from omegaconf import open_dict
from src.eval import evaluate
from src.train import train
@pytest.mark.slow
def test_train_eval(tmp_path, cfg_train, cfg_eval):
"""Train for 1 epoch with `train.py` and evaluate with `eval.py`"""
assert s... | 0 |
apollo_public_repos/apollo-model-yolo3d/tests | apollo_public_repos/apollo-model-yolo3d/tests/helpers/package_available.py | import platform
import pkg_resources
from pytorch_lightning.utilities.xla_device import XLADeviceUtils
def _package_available(package_name: str) -> bool:
"""Check if a package is available in your environment."""
try:
return pkg_resources.require(package_name) is not None
except pkg_resources.Dis... | 0 |
apollo_public_repos/apollo-model-yolo3d/tests | apollo_public_repos/apollo-model-yolo3d/tests/helpers/run_if.py | """Adapted from:
https://github.com/PyTorchLightning/pytorch-lightning/blob/master/tests/helpers/runif.py
"""
import sys
from typing import Optional
import pytest
import torch
from packaging.version import Version
from pkg_resources import get_distribution
from tests.helpers.package_available import (
_COMET_AV... | 0 |
apollo_public_repos/apollo-model-yolo3d/tests | apollo_public_repos/apollo-model-yolo3d/tests/helpers/run_sh_command.py | from typing import List
import pytest
from tests.helpers.package_available import _SH_AVAILABLE
if _SH_AVAILABLE:
import sh
def run_sh_command(command: List[str]):
"""Default method for executing shell commands with pytest and sh package."""
msg = None
try:
sh.python(command)
except sh.... | 0 |
apollo_public_repos/apollo-model-yolo3d | apollo_public_repos/apollo-model-yolo3d/docs/command.md | # Quick Command
## Train Regressor Model
- Train original
```bash
python src/train.py
```
- With experiment
```bash
python src/train.py \
experiment=sample
```
## Train Detector Model
### Yolov5
- Multi GPU Training
```bash
cd yolov5
python -m torch.distributed.launch \
--nproc_per_node 4 train.py \
--... | 0 |
apollo_public_repos/apollo-model-yolo3d | apollo_public_repos/apollo-model-yolo3d/docs/index.md | # YOLO3D: 3D Object Detection with YOLO
<div align="center">
<a href="https://www.python.org/"><img alt="Python" src="https://img.shields.io/badge/-Python 3.8+-blue?style=flat&logo=python&logoColor=white"></a>
<a href="https://pytorch.org/get-started/locally/"><img alt="PyTorch" src="https://img.shields.io/badge/-PyT... | 0 |
apollo_public_repos/apollo-model-yolo3d/docs | apollo_public_repos/apollo-model-yolo3d/docs/javascripts/mathjax.js | window.MathJax = {
tex: {
inlineMath: [["\\(", "\\)"]],
displayMath: [["\\[", "\\]"]],
processEscapes: true,
processEnvironments: true
},
options: {
ignoreHtmlClass: ".*|",
processHtmlClass: "arithmatex"
}
};
document$.subscribe(() => {
MathJax.types... | 0 |
apollo_public_repos/apollo-model-yolo3d | apollo_public_repos/apollo-model-yolo3d/configs/convert.yaml | # @package _global_
# specify here default training configuration
defaults:
- _self_
- model: regressor.yaml
# enable color logging
- override hydra/hydra_logging: colorlog
- override hydra/job_logging: colorlog
# pretty print config at the start of the run using Rich library
print_config: True
# disable ... | 0 |
apollo_public_repos/apollo-model-yolo3d | apollo_public_repos/apollo-model-yolo3d/configs/train.yaml | # @package _global_
# specify here default configuration
# order of defaults determines the order in which configs override each other
defaults:
- _self_
- datamodule: kitti_datamodule.yaml
- model: regressor.yaml
- callbacks: default.yaml
- logger: null # set logger here or use command line (e.g. `python tr... | 0 |
apollo_public_repos/apollo-model-yolo3d | apollo_public_repos/apollo-model-yolo3d/configs/inference.yaml | # @package _global_
# specify here default training configuration
defaults:
- _self_
- detector: yolov5.yaml
- model: regressor.yaml
- augmentation: inference_preprocessing.yaml
# debugging config (enable through command line, e.g. `python train.py debug=default)
- debug: null
# enable color logging
... | 0 |
apollo_public_repos/apollo-model-yolo3d | apollo_public_repos/apollo-model-yolo3d/configs/evaluate.yaml | # @package _global_
# specify here default training configuration
defaults:
- _self_
- detector: yolov5.yaml
- model: regressor.yaml
- augmentation: inference_preprocessing.yaml
# debugging config (enable through command line, e.g. `python train.py debug=default)
- debug: null
# enable color logging
... | 0 |
apollo_public_repos/apollo-model-yolo3d | apollo_public_repos/apollo-model-yolo3d/configs/eval.yaml | # @package _global_
defaults:
- _self_
- datamodule: mnist.yaml # choose datamodule with `test_dataloader()` for evaluation
- model: mnist.yaml
- logger: null
- trainer: default.yaml
- paths: default.yaml
- extras: default.yaml
- hydra: default.yaml
task_name: "eval"
tags: ["dev"]
# passing checkpoi... | 0 |
apollo_public_repos/apollo-model-yolo3d/configs | apollo_public_repos/apollo-model-yolo3d/configs/hparams_search/optuna.yaml | # @package _global_
# example hyperparameter optimization of some experiment with Optuna:
# python train.py -m hparams_search=mnist_optuna experiment=example
defaults:
- override /hydra/sweeper: optuna
# choose metric which will be optimized by Optuna
# make sure this is the correct name of some metric logged in l... | 0 |
apollo_public_repos/apollo-model-yolo3d/configs | apollo_public_repos/apollo-model-yolo3d/configs/hparams_search/mnist_optuna.yaml | # @package _global_
# example hyperparameter optimization of some experiment with Optuna:
# python train.py -m hparams_search=mnist_optuna experiment=example
defaults:
- override /hydra/sweeper: optuna
# choose metric which will be optimized by Optuna
# make sure this is the correct name of some metric logged in l... | 0 |
apollo_public_repos/apollo-model-yolo3d/configs | apollo_public_repos/apollo-model-yolo3d/configs/datamodule/kitti_datamodule.yaml | _target_: src.datamodules.kitti_datamodule.KITTIDataModule
dataset_path: ${paths.data_dir} # data_dir is specified in config.yaml
train_sets: ${paths.data_dir}/train_80.txt
val_sets: ${paths.data_dir}/val_80.txt
test_sets: ${paths.data_dir}/test_80.txt
batch_size: 64
num_worker: 32 | 0 |
apollo_public_repos/apollo-model-yolo3d/configs | apollo_public_repos/apollo-model-yolo3d/configs/augmentation/inference_preprocessing.yaml | to_tensor:
_target_: torchvision.transforms.ToTensor
normalize:
_target_: torchvision.transforms.Normalize
mean: [0.406, 0.456, 0.485]
std: [0.225, 0.224, 0.229] | 0 |
apollo_public_repos/apollo-model-yolo3d/configs | apollo_public_repos/apollo-model-yolo3d/configs/logger/comet.yaml | # https://www.comet.ml
comet:
_target_: pytorch_lightning.loggers.comet.CometLogger
api_key: ${oc.env:COMET_API_TOKEN} # api key is loaded from environment variable
save_dir: "${paths.output_dir}"
project_name: "lightning-hydra-template"
rest_api_key: null
# experiment_name: ""
experiment_key: null # set... | 0 |
apollo_public_repos/apollo-model-yolo3d/configs | apollo_public_repos/apollo-model-yolo3d/configs/logger/csv.yaml | # csv logger built in lightning
csv:
_target_: pytorch_lightning.loggers.csv_logs.CSVLogger
save_dir: "${paths.output_dir}"
name: "csv/"
prefix: ""
| 0 |
apollo_public_repos/apollo-model-yolo3d/configs | apollo_public_repos/apollo-model-yolo3d/configs/logger/tensorboard.yaml | # https://www.tensorflow.org/tensorboard/
tensorboard:
_target_: pytorch_lightning.loggers.tensorboard.TensorBoardLogger
save_dir: "${paths.output_dir}/tensorboard/"
name: null
log_graph: False
default_hp_metric: True
prefix: ""
# version: ""
| 0 |
apollo_public_repos/apollo-model-yolo3d/configs | apollo_public_repos/apollo-model-yolo3d/configs/logger/neptune.yaml | # https://neptune.ai
neptune:
_target_: pytorch_lightning.loggers.neptune.NeptuneLogger
api_key: ${oc.env:NEPTUNE_API_TOKEN} # api key is loaded from environment variable
project: username/lightning-hydra-template
# name: ""
log_model_checkpoints: True
prefix: ""
| 0 |
apollo_public_repos/apollo-model-yolo3d/configs | apollo_public_repos/apollo-model-yolo3d/configs/logger/wandb.yaml | # https://wandb.ai
wandb:
_target_: pytorch_lightning.loggers.wandb.WandbLogger
# name: "" # name of the run (normally generated by wandb)
save_dir: "${paths.output_dir}"
offline: False
id: null # pass correct id to resume experiment!
anonymous: null # enable anonymous logging
project: "yolo3d-regressor"... | 0 |
apollo_public_repos/apollo-model-yolo3d/configs | apollo_public_repos/apollo-model-yolo3d/configs/logger/many_loggers.yaml | # train with many loggers at once
defaults:
# - comet.yaml
- csv.yaml
# - mlflow.yaml
# - neptune.yaml
- tensorboard.yaml
- wandb.yaml
| 0 |
apollo_public_repos/apollo-model-yolo3d/configs | apollo_public_repos/apollo-model-yolo3d/configs/logger/mlflow.yaml | # https://mlflow.org
mlflow:
_target_: pytorch_lightning.loggers.mlflow.MLFlowLogger
# experiment_name: ""
# run_name: ""
tracking_uri: ${paths.log_dir}/mlflow/mlruns # run `mlflow ui` command inside the `logs/mlflow/` dir to open the UI
tags: null
# save_dir: "./mlruns"
prefix: ""
artifact_location: n... | 0 |
apollo_public_repos/apollo-model-yolo3d/configs | apollo_public_repos/apollo-model-yolo3d/configs/callbacks/rich_progress_bar.yaml | # https://pytorch-lightning.readthedocs.io/en/latest/api/pytorch_lightning.callbacks.RichProgressBar.html
# Create a progress bar with rich text formatting.
# Look at the above link for more detailed information.
rich_progress_bar:
_target_: pytorch_lightning.callbacks.RichProgressBar
| 0 |
apollo_public_repos/apollo-model-yolo3d/configs | apollo_public_repos/apollo-model-yolo3d/configs/callbacks/wandb.yaml | defaults:
- default.yaml
watch_model:
_target_: src.callbacks.wandb_callbacks.WatchModel
log: "all"
log_freq: 100
upload_code_as_artifact:
_target_: src.callbacks.wandb_callbacks.UploadCodeAsArtifact
code_dir: ${original_work_dir}/src
upload_ckpts_as_artifact:
_target_: src.callbacks.wandb_callbacks.Up... | 0 |
apollo_public_repos/apollo-model-yolo3d/configs | apollo_public_repos/apollo-model-yolo3d/configs/callbacks/early_stopping.yaml | # https://pytorch-lightning.readthedocs.io/en/latest/api/pytorch_lightning.callbacks.EarlyStopping.html
# Monitor a metric and stop training when it stops improving.
# Look at the above link for more detailed information.
early_stopping:
_target_: pytorch_lightning.callbacks.EarlyStopping
monitor: ??? # quantity t... | 0 |
apollo_public_repos/apollo-model-yolo3d/configs | apollo_public_repos/apollo-model-yolo3d/configs/callbacks/model_summary.yaml | # https://pytorch-lightning.readthedocs.io/en/latest/api/pytorch_lightning.callbacks.RichModelSummary.html
# Generates a summary of all layers in a LightningModule with rich text formatting.
# Look at the above link for more detailed information.
model_summary:
_target_: pytorch_lightning.callbacks.RichModelSummary
... | 0 |
apollo_public_repos/apollo-model-yolo3d/configs | apollo_public_repos/apollo-model-yolo3d/configs/callbacks/model_checkpoint.yaml | # https://pytorch-lightning.readthedocs.io/en/latest/api/pytorch_lightning.callbacks.ModelCheckpoint.html
# Save the model periodically by monitoring a quantity.
# Look at the above link for more detailed information.
model_checkpoint:
_target_: pytorch_lightning.callbacks.ModelCheckpoint
dirpath: null # directory... | 0 |
apollo_public_repos/apollo-model-yolo3d/configs | apollo_public_repos/apollo-model-yolo3d/configs/callbacks/default.yaml | defaults:
- model_checkpoint.yaml
- early_stopping.yaml
- model_summary.yaml
- rich_progress_bar.yaml
- _self_
# model save config
model_checkpoint:
dirpath: "weights"
filename: "epoch_{epoch:03d}"
monitor: "val/loss"
mode: "min"
save_last: True
save_top_k: 1
auto_insert_metric_name: False
ear... | 0 |
apollo_public_repos/apollo-model-yolo3d/configs | apollo_public_repos/apollo-model-yolo3d/configs/paths/default.yaml | # path to root directory
# this requires PROJECT_ROOT environment variable to exist
# PROJECT_ROOT is inferred and set by pyrootutils package in `train.py` and `eval.py`
root_dir: ${oc.env:PROJECT_ROOT}
# path to data directory
data_dir: ${paths.root_dir}/data/KITTI
# path to logging directory
log_dir: ${paths.root_d... | 0 |
apollo_public_repos/apollo-model-yolo3d/configs | apollo_public_repos/apollo-model-yolo3d/configs/detector/yolov5.yaml | _target_: inference.detector_yolov5
model_path: ${root}/weights/detector_yolov5s.pt
cfg_path: ${root}/yolov5/models/yolov5s.yaml
classes: 5
device: 'cpu' | 0 |
apollo_public_repos/apollo-model-yolo3d/configs | apollo_public_repos/apollo-model-yolo3d/configs/detector/yolov5_kitti.yaml | # KITTI to YOLO
path: ../data/KITTI/ # dataset root dir
train: train_yolo.txt # train images (relative to 'path') 3712 images
val: val_yolo.txt # val images (relative to 'path') 3768 images
# Classes
nc: 5 # number of classes
names: ['car', 'van', 'truck', 'pedestrian', 'cyclist'] | 0 |
apollo_public_repos/apollo-model-yolo3d/configs | apollo_public_repos/apollo-model-yolo3d/configs/model/regressor.yaml | _target_: src.models.regressor.RegressorModel
net:
_target_: src.models.components.base.RegressorNet
backbone:
_target_: torchvision.models.resnet18 # change model on this
pretrained: True
bins: 2
optimizer: adam
lr: 0.0001
momentum: 0.9
w: 0.8
alpha: 0.2 | 0 |
apollo_public_repos/apollo-model-yolo3d/configs | apollo_public_repos/apollo-model-yolo3d/configs/experiment/sample.yaml | # @package _global_
# to execute this experiment run:
# python train.py experiment=example
defaults:
- override /datamodule: kitti_datamodule.yaml
- override /model: regressor.yaml
- override /callbacks: default.yaml
- override /logger: wandb.yaml
- override /trainer: dgx.yaml
# all parameters below will b... | 0 |
apollo_public_repos/apollo-model-yolo3d/configs | apollo_public_repos/apollo-model-yolo3d/configs/trainer/ddp.yaml | defaults:
- default.yaml
# use "ddp_spawn" instead of "ddp",
# it's slower but normal "ddp" currently doesn't work ideally with hydra
# https://github.com/facebookresearch/hydra/issues/2070
# https://pytorch-lightning.readthedocs.io/en/latest/accelerators/gpu_intermediate.html#distributed-data-parallel-spawn
strateg... | 0 |
apollo_public_repos/apollo-model-yolo3d/configs | apollo_public_repos/apollo-model-yolo3d/configs/trainer/kaggle.yaml | _target_: pytorch_lightning.Trainer
gpus: 0
min_epochs: 1
max_epochs: 10
# number of validation steps to execute at the beginning of the training
# num_sanity_val_steps: 0
# ckpt path
resume_from_checkpoint: null
# disable progress_bar
enable_progress_bar: False | 0 |
apollo_public_repos/apollo-model-yolo3d/configs | apollo_public_repos/apollo-model-yolo3d/configs/trainer/ddp_sim.yaml | defaults:
- default.yaml
# simulate DDP on CPU, useful for debugging
accelerator: cpu
devices: 2
strategy: ddp_spawn
| 0 |
apollo_public_repos/apollo-model-yolo3d/configs | apollo_public_repos/apollo-model-yolo3d/configs/trainer/cpu.yaml | defaults:
- default.yaml
accelerator: cpu
devices: 1
| 0 |
apollo_public_repos/apollo-model-yolo3d/configs | apollo_public_repos/apollo-model-yolo3d/configs/trainer/dgx.yaml | defaults:
- default.yaml
# strategy: ddp
accelerator: gpu
devices: [0]
num_nodes: 1
sync_batchnorm: True | 0 |
apollo_public_repos/apollo-model-yolo3d/configs | apollo_public_repos/apollo-model-yolo3d/configs/trainer/gpu.yaml | defaults:
- default.yaml
accelerator: gpu
devices: 1
| 0 |
apollo_public_repos/apollo-model-yolo3d/configs | apollo_public_repos/apollo-model-yolo3d/configs/trainer/mps.yaml | defaults:
- default.yaml
accelerator: mps
devices: 1
| 0 |
apollo_public_repos/apollo-model-yolo3d/configs | apollo_public_repos/apollo-model-yolo3d/configs/trainer/default.yaml | _target_: pytorch_lightning.Trainer
default_root_dir: ${paths.output_dir}
min_epochs: 1 # prevents early stopping
max_epochs: 25
accelerator: cpu
devices: 1
# mixed precision for extra speed-up
# precision: 16
# set True to to ensure deterministic results
# makes training slower but gives more reproducibility than... | 0 |
apollo_public_repos/apollo-model-yolo3d/configs | apollo_public_repos/apollo-model-yolo3d/configs/hydra/default.yaml | # https://hydra.cc/docs/configure_hydra/intro/
# enable color logging
defaults:
- override hydra_logging: colorlog
- override job_logging: colorlog
# output directory, generated dynamically on each run
run:
dir: ${paths.log_dir}/${task_name}/runs/${now:%Y-%m-%d}_${now:%H-%M-%S}
sweep:
dir: ${paths.log_dir}/${... | 0 |
apollo_public_repos/apollo-model-yolo3d/configs | apollo_public_repos/apollo-model-yolo3d/configs/debug/profiler.yaml | # @package _global_
# runs with execution time profiling
defaults:
- default.yaml
trainer:
max_epochs: 1
profiler: "simple"
# profiler: "advanced"
# profiler: "pytorch"
| 0 |
apollo_public_repos/apollo-model-yolo3d/configs | apollo_public_repos/apollo-model-yolo3d/configs/debug/overfit.yaml | # @package _global_
# overfits to 3 batches
defaults:
- default.yaml
trainer:
max_epochs: 20
overfit_batches: 3
# model ckpt and early stopping need to be disabled during overfitting
callbacks: null
| 0 |
apollo_public_repos/apollo-model-yolo3d/configs | apollo_public_repos/apollo-model-yolo3d/configs/debug/limit.yaml | # @package _global_
# uses only 1% of the training data and 5% of validation/test data
defaults:
- default.yaml
trainer:
max_epochs: 3
limit_train_batches: 0.01
limit_val_batches: 0.05
limit_test_batches: 0.05
| 0 |
apollo_public_repos/apollo-model-yolo3d/configs | apollo_public_repos/apollo-model-yolo3d/configs/debug/fdr.yaml | # @package _global_
# runs 1 train, 1 validation and 1 test step
defaults:
- default.yaml
trainer:
fast_dev_run: true
| 0 |
apollo_public_repos/apollo-model-yolo3d/configs | apollo_public_repos/apollo-model-yolo3d/configs/debug/default.yaml | # @package _global_
# default debugging setup, runs 1 full epoch
# other debugging configs can inherit from this one
# overwrite task name so debugging logs are stored in separate folder
task_name: "debug"
# disable callbacks and loggers during debugging
callbacks: null
logger: null
extras:
ignore_warnings: False... | 0 |
apollo_public_repos/apollo-model-yolo3d/configs | apollo_public_repos/apollo-model-yolo3d/configs/extras/default.yaml | # disable python warnings if they annoy you
ignore_warnings: False
# ask user for tags if none are provided in the config
enforce_tags: True
# pretty print config tree at the start of the run using Rich library
print_config: True
| 0 |
apollo_public_repos/apollo-model-yolo3d | apollo_public_repos/apollo-model-yolo3d/scripts/video_to_gif.py | """Convert video to gif with moviepy"""
import argparse
import moviepy.editor as mpy
def generate(video_path, gif_path, fps):
"""Generate gif from video"""
clip = mpy.VideoFileClip(video_path)
clip.write_gif(gif_path, fps=fps)
clip.close()
if __name__ == "__main__":
parser = argparse.ArgumentPars... | 0 |
apollo_public_repos/apollo-model-yolo3d | apollo_public_repos/apollo-model-yolo3d/scripts/schedule.sh | #!/bin/bash
# Schedule execution of many runs
# Run from root folder with: bash scripts/schedule.sh
python src/train.py trainer.max_epochs=5 logger=csv
python src/train.py trainer.max_epochs=10 logger=csv
| 0 |
apollo_public_repos/apollo-model-yolo3d | apollo_public_repos/apollo-model-yolo3d/scripts/frames_to_video.py | """
Generate frames to vid
Usage:
python scripts/frames_to_video.py \
--imgs_path /path/to/imgs \
--vid_path /path/to/vid \
--fps 24 \
--frame_size 1242 375 \
--resize
python scripts/frames_to_video.py \
--imgs_path outputs/2023-05-13/22-51-34/inference \
--vid_path tmp/output_videos/001.mp... | 0 |
apollo_public_repos/apollo-model-yolo3d | apollo_public_repos/apollo-model-yolo3d/scripts/get_weights.py | """Download pretrained weights from github release"""
from pprint import pprint
import requests
import os
import shutil
import argparse
from zipfile import ZipFile
def get_assets(tag):
"""Get release assets by tag name"""
url = 'https://api.github.com/repos/ruhyadi/yolo3d-lightning/releases/tags/' + tag
r... | 0 |
apollo_public_repos/apollo-model-yolo3d | apollo_public_repos/apollo-model-yolo3d/scripts/post_weights.py | """Upload weights to github release"""
from pprint import pprint
import requests
import os
import dotenv
import argparse
from zipfile import ZipFile
dotenv.load_dotenv()
def create_release(tag, name, description, target="main"):
"""Create release"""
token = os.environ.get("GITHUB_TOKEN")
headers = {
... | 0 |
apollo_public_repos/apollo-model-yolo3d | apollo_public_repos/apollo-model-yolo3d/scripts/kitti_to_yolo.py | """
Convert KITTI format to YOLO format.
"""
import os
import numpy as np
from glob import glob
from tqdm import tqdm
import argparse
from typing import Tuple
class KITTI2YOLO:
def __init__(
self,
dataset_path: str = "../data/KITTI",
classes: Tuple = ["car", "van", "truck", "pedestrian",... | 0 |
apollo_public_repos/apollo-model-yolo3d | apollo_public_repos/apollo-model-yolo3d/scripts/generate_sets.py | """Create training and validation sets"""
from glob import glob
import os
import argparse
def generate_sets(
images_path: str,
dump_dir: str,
postfix: str = "",
train_size: float = 0.8,
is_yolo: bool = False,
):
images = glob(os.path.join(images_path, "*.png"))
ids = [id_.split("/")[-1].s... | 0 |
apollo_public_repos/apollo-model-yolo3d | apollo_public_repos/apollo-model-yolo3d/scripts/video_to_frame.py | """
Convert video to frame
Usage:
python video_to_frame.py \
--video_path /path/to/video \
--output_path /path/to/output/folder \
--fps 24
python scripts/video_to_frame.py \
--video_path tmp/video/20230513_100429.mp4 \
--output_path tmp/video_001 \
--fps 20
"""
import argparse
import os
impor... | 0 |
apollo_public_repos/apollo-model-yolo3d | apollo_public_repos/apollo-model-yolo3d/data/datasplit.py | #!/usr/bin/env python
# Copyright (c) Baidu apollo, Inc.
# All Rights Reserved
import os
import random
# TODO: change this to your own data path
pnglabelfilepath = r'./KITTI/label_2'
savePath = r"./KITTI/ImageSets/"
target_png = os.listdir(pnglabelfilepath)
total_png = []
for t in target_png:
if t.endswith(".txt... | 0 |
apollo_public_repos/apollo-model-yolo3d | apollo_public_repos/apollo-model-yolo3d/assets/global_calib.txt | # KITTI
P_rect_02: 7.188560e+02 0.000000e+00 6.071928e+02 4.538225e+01 0.000000e+00 7.188560e+02 1.852157e+02 -1.130887e-01 0.000000e+00 0.000000e+00 1.000000e+00 3.779761e-03
calib_time: 09-Jan-2012 14:00:15
corner_dist: 9.950000e-02
S_00: 1.392000e+03 5.120000e+02
K_00: 9.799200e+02 0.000000e+00 6.900000e+02 0.00000... | 0 |
apollo_public_repos/apollo-model-yolo3d | apollo_public_repos/apollo-model-yolo3d/src/train.py | import pyrootutils
root = pyrootutils.setup_root(
search_from=__file__,
indicator=[".git", "pyproject.toml"],
pythonpath=True,
dotenv=True,
)
# ------------------------------------------------------------------------------------ #
# `pyrootutils.setup_root(...)` is recommended at the top of each start... | 0 |
apollo_public_repos/apollo-model-yolo3d | apollo_public_repos/apollo-model-yolo3d/src/eval.py | import pyrootutils
root = pyrootutils.setup_root(
search_from=__file__,
indicator=[".git", "pyproject.toml"],
pythonpath=True,
dotenv=True,
)
# ------------------------------------------------------------------------------------ #
# `pyrootutils.setup_root(...)` is recommended at the top of each start... | 0 |
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