I am reading the specification, but I can not understand the properties of the sampler.
This is the animation that I have
"animations" : [
{
"channels" : [
{
"sampler" : 0,
"target" : {
"node" : 0,
"path" : "translation"
}
}
],
"name" : "00001_2780.datAction",
"samplers" : [
{
"input" : 9,
"interpolation" : "CUBICSPLINE",
"output" : 10
}
]
},
{
"channels" : [
{
"sampler" : 0,
"target" : {
"node" : 1,
"path" : "translation"
}
}
],
"name" : "00002_2780.datAction",
"samplers" : [
{
"input" : 9,
"interpolation" : "CUBICSPLINE",
"output" : 11
}
]
}
],
What I can not understand is what are the values 9 and 10 for the first sample and 9 and 11 for the second
All that we have in the specification is
https://github.com/KhronosGroup/glTF/tree/master/specification/2.0#animations
Each of the animation's samplers defines the input/output pair: a set of floating point scalar values representing linear time in seconds; and a set of vectors or scalars representing animated property.
And this makes it more unclear to me.
Is there a more detailed explanation about what input/output values are and what they represent. What will happen for example if I change the input from 9 to 99 or to 9.9 or to 0.9 or to 0. How will this change the animation?
Thanks
The numbers 9 and 10 here are glTF accessor index ID values. If you decode accessor index 9, you'll find the list of times for each of the keyframes of the animation. If you decode accessor 10, normally you would expect to find the list of values for the keyframes. But since this is CUBICSPLINE, accessor 10 will contain the in-tangent, value, and out-tangent for each keyframe.
One way to investigate glTF files like this is to use the glTF Tools extension for VSCode. You can right-click the input or output value and choose Go To Definition to get to the accessor in question, and choose Go To Definition again to decode it. (Disclaimer, I'm a contributor to glTF Tools).
Related
suppose if i am doing hyper parameter tuning to one of my model, lets say, i am using AdaBoostClassifier() and want to pass different base_estimator, so i pass SVC & DecisionTreeClassifier as estimator
_parameters=[
{
'mdl':[AdaBoostClassifier(random_state=23)],
'mdl__learning_rate':np.linspace(0,1,20),
'mdl__base_estimator':[SVC(),DecisionTreeClassifier()]
}
]
now, i want to pass different values to ccp_alpha of DecisionTreeClassifier, something like this
'mdl__base_estimator':[LinearRegression(),DecisionTreeClassifier(ccp_alpha=[0.1,0.2,0.3,0.4])]
how can i do that, i tried passing it like this, but it is not working, here is my entire code
pipeline=Pipeline(
[
('scal',StandardScaler()),
('mdl','passthrough')
]
)
_parameters=[
{
'mdl':[DecisionTreeClassifier(random_state=42)] ,
'mdl__max_depth':np.linspace(2,30,2),
'mdl__min_samples_split':np.linspace(1,10,1),
'mdl__max_features':np.linspace(1,100,1),
'mdl__ccp_alpha':np.linspace(0,1,10)
}
,{
'mdl':[AdaBoostClassifier(random_state=23)],
'mdl__learning_rate':np.linspace(0,1,20),
'mdl__base_estimator':[SVC(),DecisionTreeClassifier(ccp_alpha=[0.3,0.4,0.5,0.7])]
}
]
grid_search=GridSearchCV(_pipeline,_parameters,cv=3,n_jobs=-1,scoring='f1')
grid_search.fit(x,y
)
This kind of splitting is why param_grid can be a list of dicts, as in your outer split; but it cannot easily handle the nested disjunction you have. Two approaches come to mind.
More disjoint grids:
_parameters=[
{
'mdl': [DecisionTreeClassifier(random_state=42)],
'mdl__max_depth': np.linspace(2,30,2),
'mdl__min_samples_split': np.linspace(1,10,1),
'mdl__max_features': np.linspace(1,100,1),
'mdl__ccp_alpha': np.linspace(0,1,10),
},
{
'mdl': [AdaBoostClassifier(random_state=23)],
'mdl__learning_rate': np.linspace(0,1,20),
'mdl__base_estimator': [SVC()],
},
{
'mdl': [AdaBoostClassifier(random_state=23)],
'mdl__learning_rate': np.linspace(0,1,20),
'mdl__base_estimator': [DecisionTreeClassifier()],
'mdl__base_estimator__ccp_alpha': [0.3,0.4,0.5,0.7],
},
]
Or list comprehension:
_parameters=[
{
'mdl': [DecisionTreeClassifier(random_state=42)],
'mdl__max_depth': np.linspace(2,30,2),
'mdl__min_samples_split': np.linspace(1,10,1),
'mdl__max_features': np.linspace(1,100,1),
'mdl__ccp_alpha': np.linspace(0,1,10),
},
{
'mdl': [AdaBoostClassifier(random_state=23)],
'mdl__learning_rate': np.linspace(0,1,20),
'mdl__base_estimator': [SVC()] + [DecisionTreeClassifier(ccp_alpha=a) for a in [0.3,0.4,0.5,0.7]],
},
]
var a = [{'answers' : [{'text':'Cloud','score':10},],},];
main()
{
print(a[0]['answers']);
}
I want to print number 10 in 'score'
Anyone help me fix code !!!
Thanks first !!!
Your problem is properly null-safety which complains about using the value from ['answers']. The reason is that the [] operator on Map returns a nullable type because the result can be null in case that the element does not exist in the Map.
I have in the following used ! to promise the compiler that you are sure that the element does exist in the Map so it stops complaining. But it will insert a check on runtime and crash your application in case the returned value is null:
var a = [
{
'answers': [
{'text': 'Cloud', 'score': 10},
],
},
];
void main() {
print(a[0]['answers']![0]['score']); // 10
}
I’m new to telegraf and influxdb, and currently looking forward to exploring telegraf, but unfortunetly, I have some difficulty getting started, I will try to explain my problem below:
Objectif: parsing JSON file using telegraf input plugin.
Input : https://wetransfer.com/downloads/0abf7c609d000a7c9300dc20ee0f565120200624164841/ab22bf ( JSON file used )
The input json file is a repetition of the same structure that starts from params and ends at it.
you find below the main part of the input file :
{
"events":[
{
"params":[
{
"name":"element_type",
"value":"Home_Menu"
},
{
"name":"element_id",
"value":""
},
{
"name":"uuid",
"value":"981CD435-E6BC-01E6-4FDC-B57B5CFA9824"
},
{
"name":"section_label",
"value":"HOME"
},
{
"name":"element_label",
"value":""
}
],
"libVersion":"4.2.5",
"context":{
"locale":"ro-RO",
"country":"RO",
"application_name":"spresso",
"application_version":"2.1.8",
"model":"iPhone11,8",
"os_version":"13.5",
"platform":"iOS",
"application_lang_market":"ro_RO",
"platform_width":"320",
"device_type":"mobile",
"platform_height":"480"
},
"date":"2020-05-31T09:38:55.087+03:00",
"ssid":"spresso",
"type":"MOBILEPAGELOAD",
"user":{
"anonymousid":"6BC6DC89-EEDA-4EB6-B6AD-A213A65941AF",
"userid":"2398839"
},
"reception_date":"2020-06-01T03:02:49.613Z",
"event_version":"v1"
}
Issue : Following the documentation, I tried to define a simple telegraf.conf file as below:
[[outputs.influxdb_v2]]
…
[[inputs.file]]
files = ["/home/mouhcine/json/file.json"]
json_name_key = "My_json"
#... Listing all the string fields in the json.(I put only these for simplicity reason).
json_string_fields = ["ssid","type","userid","name","value","country","model"]
data_format = "json"
json_query= "events"
Basically declaring string fields in the telegraf.conf file would do it, but I couldn’t get all the fields that are subset in the json file, like for example what’s inside ( params or context ).
So finally, I get to parse fields with the same level of hierarchy as ssid, type, libVersion, but not the ones inside ( params, context, user).
Output : Screen2 ( attachment ).
OUTPUT
By curiosity, I tried to test the documentation’s example, in order to verify whether I get the same expected result, and the answer is no :/, I don’t get to parse the string field in the subset of the file.
The doc’s example below:
Input :
{
"a": 5,
"b": {
"c": 6,
"my_field": "description"
},
"my_tag_1": "foo",
"name": "my_json"
}
telegraf.conf
[[outputs.influxdb_v2]]
…
[[inputs.file]]
files = ["/home/mouhcine/json/influx.json"]
json_name_key = "name"
tag_keys = ["my_tag_1"]
json_string_fields = ["my_field"]
data_format = "json"
Expected Output : my_json,my_tag_1=foo a=5,b_c=6,my_field="description"
The Result I get : "my_field" is missing.
Output: Screen 1 ( attachement ).
OUTPUT
By the way, I use the influxdb cloud 2, and I apologize for the long description of this little problem, I would appreciate some help please :), Thank you so much in advance.
What is the difference between
cpu_stats and percpu_stats when using Docker remote API:
The request is :
GET /containers/(id or name)/stats
(A part of) The response is:
"cpu_stats" : {
"cpu_usage" : {
"percpu_usage" : [
8646879,
24472255,
36438778,
30657443
],
"usage_in_usermode" : 50000000,
"total_usage" : 100215355,
"usage_in_kernelmode" : 30000000
},
"system_cpu_usage" : 739306590000000,
"throttling_data" : {"periods":0,"throttled_periods":0,"throttled_time":0}
},
"precpu_stats" : {
"cpu_usage" : {
"percpu_usage" : [
8646879,
24350896,
36438778,
30657443
],
"usage_in_usermode" : 50000000,
"total_usage" : 100093996,
"usage_in_kernelmode" : 30000000
},
"system_cpu_usage" : 9492140000000,
"throttling_data" : {"periods":0,"throttled_periods":0,"throttled_time":0}
}
Example taken from Docker docs:
https://docs.docker.com/engine/reference/api/docker_remote_api_v1.24/#get-container-stats-based-on-resource-usage
When testing with a sample container, values are almost the same.
Example of an output:
#Cpu stas
{u'cpu_usage': {u'usage_in_usermode': 0, u'total_usage': 36569630, u'percpu_usage': [8618616, 3086454, 16466404, 8398156], u'usage_in_kernelmode': 20000000}, u'system_cpu_usage': 339324470000000, u'throttling_data': {u'throttled_time': 0, u'periods': 0, u'throttled_periods': 0}}
#Per cup stats
{u'cpu_usage': {u'usage_in_usermode': 0, u'total_usage': 36569630, u'percpu_usage': [8618616, 3086454, 16466404, 8398156], u'usage_in_kernelmode': 20000000}, u'system_cpu_usage': 339320550000000, u'throttling_data': {u'throttled_time': 0, u'periods': 0, u'throttled_periods': 0}}
I tried also to compare specific metrics in the two case for 4 containers:
#First container
359727340000000 #CPU Stats
359723390000000 #Per CPU Stats
#2
359735220000000
359731290000000
#3
359743100000000
359739170000000
#4
359750940000000
359747000000000
The values above are almost same (some differences but not huge - may be because there are some ms between each request.)
In the official documentation:
The precpu_stats is the cpu statistic of last read, which is used for
calculating the cpu usage percent. It is not the exact copy of the
“cpu_stats” field.
Not very clear for me.
Anyone could explain better ?
so what I'm trying to do is output a certain string depending on the color I see in the video feed. For right now, what I've done is threshold the feed so that everything above a certain brightness shows up as Red. Now I want to have something that says if there's any red in the feed, then I output a "1" to a text box on my user interface that's showing the feed. If there is no red, then I output a "0" to the text box. I'm using Emgu CV Managed C++ with VS2010, can anyone help me? Thank you.
This is the code I have so far that isn't working correctly, it's giving me a compiler error.
cvConvertScaleAbs(frameFromCamera->Ptr.ToPointer(),frameDisplay->Ptr.ToPointer(),double(1)/16,0);
cvCvtColor(frameDisplay->Ptr.ToPointer(),frameColorDisplay->Ptr.ToPointer(),CV_GRAY2BGR);
cvThreshold(frameDisplay->Ptr.ToPointer(),maskSaturated->Ptr.ToPointer(),200,255,CV_THRESH_BINARY);
cvNot(maskSaturated->Ptr.ToPointer(),mask1->Ptr.ToPointer());
cv::Scalar red(0,0,255);
cvSet(frameColorDisplay->Ptr.ToPointer(),red,maskSaturated->Ptr.ToPointer());
highColor = gcnew Emgu::CV::Image<Bgr,UInt16>(0, 0, 255);
lowColor = gcnew Emgu::CV::Image<Bgr,UInt16>(0, 0, 200);
if(maskSaturated->InRange(lowColor, highColor) == 255){
tbMorse->Text ="1";
}
else{
tbMorse->Text = "0";
}
imageMain->Image=frameColorDisplay;
and i have highColor and lowColor initialized in my header as such
Emgu::CV::Image<Bgr,UInt16> ^lowColor;
Emgu::CV::Image<Bgr,UInt16> ^highColor;
and the error it's giving me is
BAOTFISInterface.cpp(1010): error C2664: 'Emgu::CV::Image<TColor,TDepth>::Image(int,int,Emgu::CV::Structure::Bgr)' : cannot convert parameter 3 from 'int' to 'Emgu::CV::Structure::Bgr'
with
[
TColor=Emgu::CV::Structure::Bgr,
TDepth=unsigned short
]
No user-defined-conversion operator available that can perform this conversion, or the operator cannot be called
BAOTFISInterface.cpp(1011): error C2664: 'Emgu::CV::Image<TColor,TDepth>::Image(int,int,Emgu::CV::Structure::Bgr)' : cannot convert parameter 3 from 'int' to 'Emgu::CV::Structure::Bgr'
with
[
TColor=Emgu::CV::Structure::Bgr,
TDepth=unsigned short
]
No user-defined-conversion operator available that can perform this conversion, or the operator cannot be called
BAOTFISInterface.cpp(1013): error C2664: 'Emgu::CV::Image<TColor,TDepth> ^Emgu::CV::Image<TColor,TDepth>::InRange(Emgu::CV::Image<TColor,TDepth> ^,Emgu::CV::Image<TColor,TDepth> ^)' : cannot convert parameter 1 from 'Emgu::CV::Image<TColor,TDepth> ^' to 'Emgu::CV::Image<TColor,TDepth> ^'
with
[
TColor=Emgu::CV::Structure::Gray,
TDepth=unsigned char
]
and
[
TColor=Emgu::CV::Structure::Bgr,
TDepth=unsigned short
]
and
[
TColor=Emgu::CV::Structure::Gray,
TDepth=unsigned char
]
No user-defined-conversion operator available, or
Types pointed to are unrelated; conversion requires reinterpret_cast, C-style cast or function-style cast