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 |
apollo_public_repos/apollo-model-yolo3d/src | apollo_public_repos/apollo-model-yolo3d/src/datamodules/kitti_datamodule.py | """
Dataset lightning class
"""
from pytorch_lightning import LightningDataModule
from torch.utils.data import DataLoader
from torchvision.transforms import transforms
from src.datamodules.components.kitti_dataset import KITTIDataset, KITTIDataset2, KITTIDataset3
class KITTIDataModule(LightningDataModule):
def _... | 0 |
apollo_public_repos/apollo-model-yolo3d/src/datamodules | apollo_public_repos/apollo-model-yolo3d/src/datamodules/components/kitti_dataset.py | """
Dataset modules for load kitti dataset and convert to yolo3d format
"""
import csv
import os
from pathlib import Path
from typing import List
import cv2
import numpy as np
from src.utils import Calib as calib
from src.utils.averages import ClassAverages, DimensionAverages
from torch.utils.data import Dataset
from... | 0 |
apollo_public_repos/apollo-model-yolo3d/src | apollo_public_repos/apollo-model-yolo3d/src/utils/Plotting.py | import os
from matplotlib.path import Path
import cv2
from PIL import Image
import numpy as np
from enum import Enum
import itertools
import matplotlib.pyplot as plt
import matplotlib.patches as patches
from matplotlib.gridspec import GridSpec
from src.utils.utils import detectionInfo, save_file
from src.utils.Calib ... | 0 |
apollo_public_repos/apollo-model-yolo3d/src | apollo_public_repos/apollo-model-yolo3d/src/utils/class_averages-kitti6.txt | {"car": {"count": 14385, "total": [21898.43999999967, 23568.289999999495, 55754.239999999765]}, "cyclist": {"count": 893, "total": [1561.5099999999982, 552.850000000001, 1569.5100000000007]}, "truck": {"count": 606, "total": [1916.6199999999872, 1554.710000000011, 6567.400000000018]}, "van": {"count": 1617, "total": [3... | 0 |
apollo_public_repos/apollo-model-yolo3d/src | apollo_public_repos/apollo-model-yolo3d/src/utils/averages.py | """Average dimension class"""
from typing import List
import numpy as np
import os
import json
class DimensionAverages:
"""
Class to calculate the average dimensions of the objects in the dataset.
"""
def __init__(
self,
categories: List[str] = ['car', 'pedestrian', 'cyclist'],
... | 0 |
apollo_public_repos/apollo-model-yolo3d/src | apollo_public_repos/apollo-model-yolo3d/src/utils/__init__.py | from src.utils.pylogger import get_pylogger
from src.utils.rich_utils import enforce_tags, print_config_tree
from src.utils.utils import (
close_loggers,
extras,
get_metric_value,
instantiate_callbacks,
instantiate_loggers,
log_hyperparameters,
save_file,
task_wrapper,
)
| 0 |
apollo_public_repos/apollo-model-yolo3d/src | apollo_public_repos/apollo-model-yolo3d/src/utils/Calib.py | """
Script for handling calibration file
"""
import numpy as np
def get_P(calib_file):
"""
Get matrix P_rect_02 (camera 2 RGB)
and transform to 3 x 4 matrix
"""
for line in open(calib_file, 'r'):
if 'P_rect_02' in line:
cam_P = line.strip().split(' ')
cam_P = np.asa... | 0 |
apollo_public_repos/apollo-model-yolo3d/src | apollo_public_repos/apollo-model-yolo3d/src/utils/rich_utils.py | from pathlib import Path
from typing import Sequence
import rich
import rich.syntax
import rich.tree
from hydra.core.hydra_config import HydraConfig
from omegaconf import DictConfig, OmegaConf, open_dict
from pytorch_lightning.utilities import rank_zero_only
from rich.prompt import Prompt
from src.utils import pylogg... | 0 |
apollo_public_repos/apollo-model-yolo3d/src | apollo_public_repos/apollo-model-yolo3d/src/utils/class_averages.txt | {"car": {"count": 14385, "total": [21898.43999999967, 23568.289999999495, 55754.239999999765]}, "cyclist": {"count": 893, "total": [1561.5099999999982, 552.850000000001, 1569.5100000000007]}, "truck": {"count": 606, "total": [1916.6199999999872, 1554.710000000011, 6567.400000000018]}, "van": {"count": 1617, "total": [3... | 0 |
apollo_public_repos/apollo-model-yolo3d/src | apollo_public_repos/apollo-model-yolo3d/src/utils/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/src | apollo_public_repos/apollo-model-yolo3d/src/utils/utils.py | import time
import warnings
from importlib.util import find_spec
from pathlib import Path
from typing import Any, Callable, Dict, List
import numpy as np
import hydra
from omegaconf import DictConfig
from pytorch_lightning import Callback
from pytorch_lightning.loggers import LightningLoggerBase
from pytorch_lightning... | 0 |
apollo_public_repos/apollo-model-yolo3d/src | apollo_public_repos/apollo-model-yolo3d/src/utils/Math.py | import numpy as np
# using this math: https://en.wikipedia.org/wiki/Rotation_matrix
def rotation_matrix(yaw, pitch=0, roll=0):
tx = roll
ty = yaw
tz = pitch
Rx = np.array([[1,0,0], [0, np.cos(tx), -np.sin(tx)], [0, np.sin(tx), np.cos(tx)]])
Ry = np.array([[np.cos(ty), 0, np.sin(ty)], [0, 1, 0], [-... | 0 |
apollo_public_repos/apollo-model-yolo3d/src | apollo_public_repos/apollo-model-yolo3d/src/utils/eval.py | import io as sysio
import time
# import numba
import numpy as np
from scipy.interpolate import interp1d
from tqdm import tqdm
from src.utils.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
de... | 0 |
apollo_public_repos/apollo-model-yolo3d/src | apollo_public_repos/apollo-model-yolo3d/src/utils/class_averages-L4.txt | {"car": {"count": 15939, "total": [25041.166112000075, 27306.989660000134, 68537.86737500015]}, "pedestrian": {"count": 1793, "total": [3018.555634000002, 974.4651910000001, 847.5994529999997]}, "cyclist": {"count": 116, "total": [169.2123550000001, 54.55659699999999, 187.05904800000002]}, "truck": {"count": 741, "tota... | 0 |
apollo_public_repos/apollo-model-yolo3d/src | apollo_public_repos/apollo-model-yolo3d/src/utils/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/src | apollo_public_repos/apollo-model-yolo3d/src/utils/pylogger.py | import logging
from pytorch_lightning.utilities import rank_zero_only
def get_pylogger(name=__name__) -> logging.Logger:
"""Initializes multi-GPU-friendly python command line logger."""
logger = logging.getLogger(name)
# this ensures all logging levels get marked with the rank zero decorator
# othe... | 0 |
apollo_public_repos/apollo-model-yolo3d/src | apollo_public_repos/apollo-model-yolo3d/src/models/regressor.py | """
KITTI Regressor Model
"""
import torch
from torch import nn
from pytorch_lightning import LightningModule
from src.models.components.base import OrientationLoss, orientation_loss2
class RegressorModel(LightningModule):
def __init__(
self,
net: nn.Module,
optimizer: str = "adam",
... | 0 |
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