quality attribute names should be improved to have a consistent way, e.g., some start with capital letters, some are not:
quality["ImageWidth"] = image.width
quality["ImageHeight"] = image.height
quality["ImageSize"] = image.size
quality["ColorMode"] = image.mode
quality["ColorChannel"] = len(image.getbands())
return quality
def eva_none(data):
try:
if is_pddataframe(data):
data = data.to_numpy()
if is_numpyarray(data):
valid_count = np.count_nonzero(~np.isnan(data))
none_count = np.count_nonzero(np.isnan(data))
results = {}
results["totalValid"] = valid_count
results["totalNone"] = none_count
results["noneRatio"] = valid_count/(valid_count+none_count)
return results
also catalog of attributes should be updated to reflect the attributes being supported.
minhtribk12
commented
1 year ago
quality attribute names should be improved to have a consistent way, e.g., some start with capital letters, some are not: quality["ImageWidth"] = image.width quality["ImageHeight"] = image.height quality["ImageSize"] = image.size quality["ColorMode"] = image.mode quality["ColorChannel"] = len(image.getbands()) return quality
def eva_none(data): try: if is_pddataframe(data): data = data.to_numpy() if is_numpyarray(data): valid_count = np.count_nonzero(~np.isnan(data)) none_count = np.count_nonzero(np.isnan(data)) results = {} results["totalValid"] = valid_count results["totalNone"] = none_count results["noneRatio"] = valid_count/(valid_count+none_count) return results
also catalog of attributes should be updated to reflect the attributes being supported.