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from pymavlink import mavextra | |
import math | |
import numpy as np | |
import typing as typ | |
# a threshold that indicates that latitude between the two image centers | |
# is significantly different | |
LATITUDE_CHANGE_THRESHOLD = 1e-4 | |
# for the reference geoid used by OpenStreetMap |
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ARG BASE_IMAGE=nvidia/cudagl:10.0-devel-ubuntu18.04 | |
FROM $BASE_IMAGE | |
# NVIDIA packages workaround. | |
# Reason: https://forums.developer.nvidia.com/t/notice-cuda-linux-repository-key-rotation/212772 | |
COPY cuda-keyring_1.0-1_all.deb . | |
RUN apt-key del 7fa2af80 | |
RUN rm /etc/apt/sources.list.d/cuda.list && rm /etc/apt/sources.list.d/nvidia-ml.list | |
RUN dpkg -i cuda-keyring_1.0-1_all.deb |
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&&&& RUNNING TensorRT.trtexec # trtexec --onnx=/home/soccer_ball_tracker_poc/tests/debug/simple_tf_gather_cnn.onnx --verbose | |
[10/03/2021-15:57:44] [I] === Model Options === | |
[10/03/2021-15:57:44] [I] Format: ONNX | |
[10/03/2021-15:57:44] [I] Model: /home/soccer_ball_tracker_poc/tests/debug/simple_tf_gather_cnn.onnx | |
[10/03/2021-15:57:44] [I] Output: | |
[10/03/2021-15:57:44] [I] === Build Options === | |
[10/03/2021-15:57:44] [I] Max batch: explicit | |
[10/03/2021-15:57:44] [I] Workspace: 16 MiB | |
[10/03/2021-15:57:44] [I] minTiming: 1 | |
[10/03/2021-15:57:44] [I] avgTiming: 8 |
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apiVersion: opdef.apps.onepanel.io/v1alpha1 | |
kind: OpDef | |
spec: | |
manifestsRepo: /home/ubuntu/Downloads/test/.onepanel/manifests/v1.0.1-rc.1 | |
params: params.yaml | |
components: | |
- kfserving/base | |
- cert-manager/base | |
- common/application/base | |
- common/istio/base |
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def moving_median(arr): | |
numbers = arr[1:] | |
sliding_window_size = min(len(numbers), arr[0]) | |
i = 1 | |
result = [] | |
while i < (len(numbers) + 1): | |
index_from = max(0, (i - sliding_window_size)) | |
window_numbers = numbers[index_from:i] |
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import tables as tb | |
class Record(tb.IsDescription): | |
first_track_id = tb.StringCol(16) # 16-character String | |
second_tracK_id = tb.StringCol(16) # 16-character String | |
distance = tb.Float32Col() # Float (single-precision) | |
# Open a file in "w"rite mode | |
fileh = tb.open_file("table1.h5", mode="w") |
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#!/bin/bash | |
RECDIR=/mnt/record/minisio/$(date +%Y-%m-%d) | |
RECTIME=$(date +-%H:%M:%S) | |
if [ ! -d "$RECDIR" ]; then | |
mkdir -p $RECDIR | |
fi | |
cd $RECDIR | |
for i in {0..6}; do |
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name: "ResNet-10" | |
input: "data" | |
input_shape { | |
dim: 1 | |
dim: 3 | |
dim: 272 | |
dim: 480 | |
} | |
layer { | |
bottom: "data" |
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name: "ResNet-18" | |
layer { | |
name: "data" | |
type: "Input" | |
top: "data" | |
input_param { shape: { dim: 1 dim: 3 dim: 224 dim: 224 } } | |
} | |
layer { | |
bottom: "data" |
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footprint: [[-0.1,-0.16],[-0.1,0.16],[0.1,0.16],[0.1,-0.16]] | |
inflation_layer: | |
inflation_radius: 0.08 | |
obstacle_layer: | |
max_obstacle_height: 0.80 | |
map_type: costmap | |
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