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packages = ["matplotlib", "pandas"] # Import libraries import pandas as pd
import matplotlib.pyplot as plt # import pyscript from js import document,
params, filters, clearResultsArea, createSignInResultsPane, createObject from
pyodide.ffi import create_proxy from pyodide.http import open_url
createObject(create_proxy(globals()), "pyodideGlobals") def
handleClearFilters(evt): #print(params.get("hi")) pass handle_proxy =
create_proxy(handleClearFilters) clearFiltersButton =
document.getElementById("clear-button")
clearFiltersButton.addEventListener("click", handle_proxy) # pred_order =
[int(i) for i in params.get("pred").split(",")] pred_conf = [int(i) for i in
params.get("conf").split(",")] # todo reimplement -- read from URL (FTP) df =
pd.read_csv(open_url("https://data.matsworld.io/spoter/final-gloss-specifier.csv"),
encoding="utf-8") df = df.fillna("—") # createSignInResultsPane("Make",
"gif/2.gif", 8) def redrawResultsTable(): clearResultsArea() for (item_wlasl_id,
item_pred_conf) in zip(pred_order, pred_conf): selected_gloss = df[df["WLASL
Identifier"] == item_wlasl_id].to_dict(orient='records')[0] if filters.movement:
if selected_gloss["Movement"] != filters.movement: continue if filters.hands: if
selected_gloss["Number of Hands"] != filters.hands: continue if
filters.location: if selected_gloss["Location"] != filters.location: continue if
filters.handshape: if selected_gloss["Handshape"].lower() !=
filters.handshape.lower(): continue handshapeCap =
selected_gloss["Handshape"][0:1].upper() + selected_gloss["Handshape"][1:] tag_0
= """Movement: """ tag_1 = """, # Hands: """ tag_2 = """, Location: """ tag_3 =
""", Handshape: """ desc = tag_0 + selected_gloss["Movement"].capitalize() +
tag_1 + selected_gloss["Number of Hands"].capitalize() + tag_2 +
selected_gloss["Location"].capitalize() + tag_3 + handshapeCap
createSignInResultsPane(selected_gloss["Sign"].lower().capitalize(),
"https://data.matsworld.io/signlanguagerecognition/gif/" + str(item_wlasl_id) +
".gif", item_pred_conf, desc) redrawResultsTable()


ANALYSIS DETAIL


Back Reset filter

--------------------------------------------------------------------------------

 * Movement
    * Uni-directional
    * Non-repeated
    * Repeated

 * # Hands
    * One-handed
    * Two-handed

 * Location
    * In space
    * Face
    * Headside
    * Palm
    * Hand
    * Arm
    * Torso
    * Other

 * Handshape

Applied filter: None




HANDSHAPE FILTER


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